{"type": "FeatureCollection", "features": [{"id": "10.1088/1748-3190/ac99c4", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:17:31Z", "type": "Journal Article", "created": "2022-10-12", "title": "Historical evolution and new trends for soil-intruder interaction modeling", "description": "Abstract                <p>Soil is a crucial resource for life on Earth. Every activity, whether natural or man-made, that interacts with the sub or deep soil can affect the land at large scales (e.g. geological risks). Understanding such interactions can help identify more sustainable and less invasive soil penetration, exploration, and monitoring solutions. Over the years, multiple approaches have been used in modeling soil mechanics to reveal soil behavior. This paper reviews the different modeling techniques used to simulate the interaction between a penetrating tool and the soil, following their use over time. Opening with analytical methods, we discuss the limitations that have partially been overcome by the finite element method (FEM). FEM models are capable of simulating more complex conditions and geometries. However, they require the continuum mechanics assumption. Hence, FEM analysis cannot simulate the discrete processes occurring during soil deformation (i.e. the separation and mixing of soil layers, the appearance of cracks, or the flow of soil particles). The discrete element method (DEM) has thus been adopted as a more promising modeling technique. Alongside models, experimental approaches have also been used to describe soil-intruder interactions, complementing or validating simulation results. Recently, bioinspired approaches have been considered promising to improve sustainability and reduce the invasiveness of classical penetration strategies. This review highlights how DEM-based models can help in studying the interaction mechanisms between bioinspired root-like artificial penetrometers and the soil. Bioinspired designs and the merging of multiple analysis approaches can offer new perspectives. These may be pivotal in the design of highly optimized soil robotic explorers capable of adapting their morphology and penetration strategies based on their surrounding conditions.</p>", "keywords": ["Soil", "13. Climate action", "Finite Element Analysis", "0211 other engineering and technologies", "Humans", "Computer Simulation", "Robotics", "02 engineering and technology", "15. Life on land"]}, "links": [{"href": "https://doi.org/10.1088/1748-3190/ac99c4"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Bioinspiration%20%26amp%3B%20Biomimetics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1088/1748-3190/ac99c4", "name": "item", "description": "10.1088/1748-3190/ac99c4", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1088/1748-3190/ac99c4"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-11-09T00:00:00Z"}}, {"id": "10.1109/cafe63183.2024.11069342", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-09-22T16:17:41Z", "type": "Journal Article", "created": "2025-07-08", "title": "Integration and Simulation of Precision Weed Spraying System on Unmanned Ground Vehicle", "description": "This paper presents a robotics system aimed at blueberry production and targeting precision low\u2011volume weed spraying for the blueberries planted on ridges. Equipped with visually-based machine learning weed segmentation and clusterization algorithms, it represents a powerful tool for precise, targeted weed eradication with minimum impact on the environment. The simulation of the system operation is an indispensable step in developing complex systems, hence this paper presents simulation results.", "keywords": ["Agriculture", "Robotics", "robotics", " agriculture", " spraying", " weeds"]}, "links": [{"href": "https://doi.org/10.1109/cafe63183.2024.11069342"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2024%20IEEE%202nd%20Conference%20on%20AgriFood%20Electronics%20%28CAFE%29", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1109/cafe63183.2024.11069342", "name": "item", "description": "10.1109/cafe63183.2024.11069342", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1109/cafe63183.2024.11069342"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-09-26T00:00:00Z"}}, {"id": "10.20944/preprints202008.0113.v1", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:18:42Z", "type": "Report", "created": "2020-08-05", "title": "Convolutional Neural Networks with Deep Supervised Feature Learning for Remote Sensing Scene Classification", "description": "<p>State-of-the-art remote sensing scene classification methods employ different Convolutional Neural Network architectures for achieving very high classification performance. A trait shared by the majority of these methods is that the class associated with each example is ascertained by examining the activations of the last fully connected layer, and the networks are trained to minimize the cross-entropy between predictions extracted from this layer and ground-truth annotations. In this work, we extend this paradigm by introducing an additional output branch which maps the inputs to low dimensional representations, effectively extracting additional feature representations of the inputs. The proposed model imposes additional distance constrains on these representations with respect to identified class representatives, in addition to the traditional categorical cross-entropy between predictions and ground-truth. By extending the typical cross-entropy loss function with a distance learning function, our proposed approach achieves significant gains across a wide set of benchmark datasets in terms of classification, while providing additional evidence related to class membership and classification confidence.</p>", "keywords": ["0211 other engineering and technologies", "0202 electrical engineering", " electronic engineering", " information engineering", "artificial_intelligence_robotics", "02 engineering and technology"]}, "links": [{"href": "https://doi.org/10.20944/preprints202008.0113.v1"}, {"rel": "self", "type": "application/geo+json", "title": "10.20944/preprints202008.0113.v1", "name": "item", "description": "10.20944/preprints202008.0113.v1", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.20944/preprints202008.0113.v1"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-08-05T00:00:00Z"}}, {"id": "10.3389/frobt.2021.797556", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:19:16Z", "type": "Journal Article", "created": "2021-12-01", "title": "Morphological Computation in Plant Seeds for a New Generation of Self-Burial and Flying Soft Robots", "description": "<p>Plants have evolved different mechanisms to disperse from parent plants and improve germination to sustain their survival. The study of seed dispersal mechanisms, with the related structural and functional characteristics, is an active research topic for ecology, plant diversity, climate change, as well as for its relevance for material science and engineering. The natural mechanisms of seed dispersal show a rich source of robust, highly adaptive, mass and energy efficient mechanisms for optimized passive flying, landing, crawling and drilling. The secret of seeds mobility is embodied in the structural features and anatomical characteristics of their tissues, which are designed to be selectively responsive to changes in the environmental conditions, and which make seeds one of the most fascinating examples of morphological computation in Nature. Particularly clever for their spatial mobility performance, are those seeds that use their morphology and structural characteristics to be carried by the wind and dispersed over great distances (i.e. \uffe2\uff80\uff9cwinged\uffe2\uff80\uff9d and \uffe2\uff80\uff9cparachute\uffe2\uff80\uff9d seeds), and seeds able to move and penetrate in soil with a self-burial mechanism driven by their hygromorphic properties and morphological features. By looking at their motion mechanisms, new design principles can be extracted and used as inspiration for smart artificial systems endowed with embodied intelligence. This mini-review systematically collects, for the first time together, the morphological, structural, biomechanical and aerodynamic information from selected plant seeds relevant to take inspiration for engineering design of soft robots, and discusses potential future developments in the field across material science, plant biology, robotics and embodied intelligence.</p>", "keywords": ["soft robotics", "plant biology", "Robotics and AI", "0301 basic medicine", "0303 health sciences", "bioinspired robotics", " soft robotics", " embodied intelligence", " plant biology", " smart materials", " plant biomechanics", " seeds dispersal", "embodied intelligence", "QA75.5-76.95", "15. Life on land", "03 medical and health sciences", "13. Climate action", "smart materials", "plant biomechanics", "Electronic computers. Computer science", "TJ1-1570", "bioinspired robotics", "Mechanical engineering and machinery"]}, "links": [{"href": "https://doi.org/10.3389/frobt.2021.797556"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Frontiers%20in%20Robotics%20and%20AI", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3389/frobt.2021.797556", "name": "item", "description": "10.3389/frobt.2021.797556", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3389/frobt.2021.797556"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-26T00:00:00Z"}}, {"id": "10.3390/s22114207", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:19:29Z", "type": "Journal Article", "created": "2022-06-02", "title": "Agrobot Lala\u2014An Autonomous Robotic System for Real-Time, In-Field Soil Sampling, and Analysis of Nitrates", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>This paper presents an autonomous robotic system, an unmanned ground vehicle (UGV), for in-field soil sampling and analysis of nitrates. Compared to standard methods of soil analysis it has several advantages: each sample is individually analyzed compared to average sample analysis in standard methods; each sample is georeferenced, providing a map for precision base fertilizing; the process is fully autonomous; samples are analyzed in real-time, approximately 30 min per sample; and lightweight for less soil compaction. The robotic system has several modules: commercial robotic platform, anchoring module, sampling module, sample preparation module, sample analysis module, and communication module. The system is augmented with an in-house developed cloud-based platform. This platform uses satellite images, and an artificial intelligence (AI) proprietary algorithm to divide the target field into representative zones for sampling, thus, reducing and optimizing the number and locations of the samples. Based on this, a task is created for the robot to automatically sample at those locations. The user is provided with an in-house developed smartphone app enabling overview and monitoring of the task, changing the positions, removing and adding of the sampling points. The results of the measurements are uploaded to the cloud for further analysis and the creation of prescription maps for variable rate base fertilization.</p></article>", "keywords": ["2. Zero hunger", "0106 biological sciences", "precision agriculture", "Nitrates", "Chemical technology", "soil sampling", "TP1-1185", "Robotics", "04 agricultural and veterinary sciences", "artificial intelligence", "01 natural sciences", "Article", "UGV; precision agriculture; artificial intelligence; soil nutrient analysis; soil sampling", "Soil", "soil nutrient analysis", "Robotic Surgical Procedures", "Artificial Intelligence", "0401 agriculture", " forestry", " and fisheries", "UGV"]}, "links": [{"href": "http://www.mdpi.com/1424-8220/22/11/4207/pdf"}, {"href": "https://doi.org/10.3390/s22114207"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sensors", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/s22114207", "name": "item", "description": "10.3390/s22114207", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/s22114207"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-31T00:00:00Z"}}, {"id": "10.48550/arxiv.1810.00182", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:19:40Z", "type": "Report", "title": "Collaborative target-tracking control using multiple autonomous fixed-wing UAVs with constant speeds", "description": "Open AccessThis paper considers a collaborative tracking control problem using a group of fixed-wing unmanned aerial vehicles (UAVs) with constant and non-identical speeds. The dynamics of fixed-wing UAVs are modelled by unicycle-type equations with nonholonomic constraints, assuming that UAVs fly at constant altitudes in the nominal operation mode. The controller is designed such that all fixed-wing UAVs as a group can collaboratively track a desired target's position and velocity. We first present conditions on the relative speeds of tracking UAVs and the target to ensure that the tracking objective can be achieved when UAVs are subject to constant speed constraints. We construct a reference velocity that includes both the target's velocity and position as feedback, which is to be tracked by the group centroid. In this way, all vehicles' headings are controlled such that the group centroid follows a reference trajectory that successfully tracks the target's trajectory. A spacing controller is further devised to ensure that all vehicles stay close to the group centroid trajectory. Trade-offs in the controller design and performance limitations of the target tracking control due to the constant-speed constraint are also discussed in detail. Experimental results with three fixed-wing UAVs tracking a target rotorcraft are provided.", "keywords": ["FOS: Computer and information sciences", "Computer Science - Robotics", "0209 industrial biotechnology", "Optimization and Control (math.OC)", "FOS: Electrical engineering", " electronic engineering", " information engineering", "FOS: Mathematics", "Computer Science - Multiagent Systems", "02 engineering and technology", "Systems and Control (eess.SY)", "Electrical Engineering and Systems Science - Systems and Control", "Mathematics - Optimization and Control", "Robotics (cs.RO)", "Multiagent Systems (cs.MA)"]}, "links": [{"href": "https://doi.org/10.48550/arxiv.1810.00182"}, {"rel": "self", "type": "application/geo+json", "title": "10.48550/arxiv.1810.00182", "name": "item", "description": "10.48550/arxiv.1810.00182", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.48550/arxiv.1810.00182"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-01T00:00:00Z"}}, {"id": "10.5281/zenodo.13619449", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-09-22T16:20:22Z", "type": "Report", "title": "Integration and Simulation of Precision Weed Spraying System on Unmanned Ground Vehicle", "description": "This paper presents a robotics system aimed at blueberry production and targeting precision low\u2011volume weed spraying for the blueberries planted on ridges. Equipped with visually-based machine learning weed segmentation and clusterization algorithms, it represents a powerful tool for precise, targeted weed eradication with minimum impact on the environment. The simulation of the system operation is an indispensable step in developing complex systems, hence this paper presents simulation results.", "keywords": ["Agriculture", "Robotics", "robotics", " agriculture", " spraying", " weeds"], "contacts": [{"organization": "Krklje\u0161, Damir, Kiti\u0107, Goran, Petes, Csaba, Filipovi\u0107, Vladan, Mirovi\u0107, Mina, Birgermajer, Slobodan,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13619449"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13619449", "name": "item", "description": "10.5281/zenodo.13619449", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13619449"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-08-30T00:00:00Z"}}, {"id": "1128533", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:22:10Z", "type": "Report", "title": "Pinocchio 2.0: A recording methodology for vertical educational robotics experiences", "description": "In Europe, Educational robotics is gaining popularity. However, at least to our knowledge, none of these interesting projects had the benefit of: a) a well designed recording methodology ; b) a well designed dissemination strategy ; d) a steady continuity. Continuity is the key word. In the last five years, School of Robotics in cooperation with a network of several Italian schools, from kindergarten to upper-schools and to university enabled thousands of students to learn in an innovative way through educational robotics (ER). Through these years, we have witnessed \u2013 and contributed to \u2013 a considerable number of successful educational experiences. In this paper, authors outline the different tools on hand in the Web 2.0 employed by the Pinocchio 2.0, along with the methodology of continuity devised for the development of new projects.", "keywords": ["4. Education", "Educational robotics", " educational continuity", " Web 2.0."], "contacts": [{"organization": "Giannini, Linda, Micheli, Emanuele, Nati, Carlo, Operto, Fiorella, Ferreira, Fausto,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/1128533"}, {"rel": "self", "type": "application/geo+json", "title": "1128533", "name": "item", "description": "1128533", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1128533"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-01-01T00:00:00Z"}}, {"id": "1810.00182", "type": "Feature", "geometry": null, "properties": {"updated": "2026-09-22T16:22:20Z", "type": "Report", "title": "Collaborative target-tracking control using multiple autonomous fixed-wing UAVs with constant speeds", "description": "Open AccessThis paper considers a collaborative tracking control problem using a group of fixed-wing unmanned aerial vehicles (UAVs) with constant and non-identical speeds. The dynamics of fixed-wing UAVs are modelled by unicycle-type equations with nonholonomic constraints, assuming that UAVs fly at constant altitudes in the nominal operation mode. The controller is designed such that all fixed-wing UAVs as a group can collaboratively track a desired target's position and velocity. We first present conditions on the relative speeds of tracking UAVs and the target to ensure that the tracking objective can be achieved when UAVs are subject to constant speed constraints. We construct a reference velocity that includes both the target's velocity and position as feedback, which is to be tracked by the group centroid. In this way, all vehicles' headings are controlled such that the group centroid follows a reference trajectory that successfully tracks the target's trajectory. A spacing controller is further devised to ensure that all vehicles stay close to the group centroid trajectory. Trade-offs in the controller design and performance limitations of the target tracking control due to the constant-speed constraint are also discussed in detail. Experimental results with three fixed-wing UAVs tracking a target rotorcraft are provided.", "keywords": ["FOS: Computer and information sciences", "Computer Science - Robotics", "0209 industrial biotechnology", "Optimization and Control (math.OC)", "FOS: Electrical engineering", " electronic engineering", " information engineering", "FOS: Mathematics", "Computer Science - Multiagent Systems", "02 engineering and technology", "Systems and Control (eess.SY)", "Electrical Engineering and Systems Science - Systems and Control", "Mathematics - Optimization and Control", "Robotics (cs.RO)", "Multiagent Systems (cs.MA)"]}, "links": [{"href": "https://doi.org/1810.00182"}, {"rel": "self", "type": "application/geo+json", "title": "1810.00182", "name": "item", "description": "1810.00182", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1810.00182"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-01T00:00:00Z"}}, {"id": "1e31c6df-526d-49fa-a99f-7a862f1d7fb1", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[13.12, 52.93], [13.12, 52.94], [13.13, 52.94], [13.13, 52.93], [13.12, 52.93]]]}, "properties": {"rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-05-24", "type": "Service", "created": "2024-02-05", "language": "eng", "title": "Web Map Service of the dataset 'Project Area - DAKIS'", "description": "This Web Map Service includes spatial information used by datasets from the project DAKIS.", "keywords": ["infoMapAccessService", "Soil", "ecosystem services", "farming systems", "robotics", "digital technology", "needs assessment", "decision-support systems", "agroforestry", "alley cropping", "Soil", "ecosystem services", "farming systems", "robotics", "digital technology", "needs assessment", "decision-support systems", "agroforestry", "alley cropping", "Germany", "L\u00f6wenberger Land"], "contacts": [{"name": "Leibniz Centre for Agricultural Landscape Research", "organization": "ZALF", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "https://ror.org/01ygyzs83", "name_url": "", "description": "ROR", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Ralf Bloch", "organization": "Eberswalde University for Sustainable Development", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "ralf.bloch@hnee.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-4088-9807", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Marco Donat", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "marco.donat@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-4254-6055", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Tobias Cremer", "organization": "Eberswalde University for Sustainable Development", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "tobias.cremer@hnee.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0001-7866-944X", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Sonoko D. 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Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. 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Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. 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Compared to standard methods of soil analysis it has several advantages: each sample is individually analyzed compared to average sample analysis in standard methods; each sample is georeferenced, providing a map for precision base fertilizing; the process is fully autonomous; samples are analyzed in real-time, approximately 30 min per sample; and lightweight for less soil compaction. The robotic system has several modules: commercial robotic platform, anchoring module, sampling module, sample preparation module, sample analysis module, and communication module. The system is augmented with an in-house developed cloud-based platform. This platform uses satellite images, and an artificial intelligence (AI) proprietary algorithm to divide the target field into representative zones for sampling, thus, reducing and optimizing the number and locations of the samples. Based on this, a task is created for the robot to automatically sample at those locations. The user is provided with an in-house developed smartphone app enabling overview and monitoring of the task, changing the positions, removing and adding of the sampling points. The results of the measurements are uploaded to the cloud for further analysis and the creation of prescription maps for variable rate base fertilization.</p></article>", "keywords": ["2. Zero hunger", "0106 biological sciences", "precision agriculture", "Nitrates", "Chemical technology", "soil sampling", "TP1-1185", "Robotics", "04 agricultural and veterinary sciences", "artificial intelligence", "01 natural sciences", "Article", "UGV; precision agriculture; artificial intelligence; soil nutrient analysis; soil sampling", "Soil", "soil nutrient analysis", "Robotic Surgical Procedures", "Artificial Intelligence", "0401 agriculture", " forestry", " and fisheries", "UGV"]}, "links": [{"href": "http://www.mdpi.com/1424-8220/22/11/4207/pdf"}, {"href": "https://doi.org/PMC9185546"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Sensors", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "PMC9185546", "name": "item", "description": "PMC9185546", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PMC9185546"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-05-31T00:00:00Z"}}, {"id": "f9244f40-1765-4dbf-b45f-0225c2a31344", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[13.79, 53.38], [13.79, 53.38], [13.79, 53.38], [13.79, 53.38], [13.79, 53.38]]]}, "properties": {"rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-12-09", "type": "Service", "created": "2024-03-27", "language": "eng", "title": "Web Map Service of the datase from the CarboZALF Site and project \"Krumensenke\"", "description": "This Web Map Service includes spatial information used by datasets createad on the CarboZALF site on the ZALF research station Dedelow (https://doi.org/10.4228/zalf-m262-ap29) embedded in the Focus Area Quillow (https://doi.org/10.4228/zalf.7161-ft27).", "keywords": ["infoMapAccessService", "Soil", "robotics", "topsoil", "erosion", "soil organic carbon", "Germany", "Uckermark", "Quillow", "Dedelow", "CarboZALF Site"], "contacts": [{"name": "Leibniz Centre for Agricultural Landscape Research", "organization": "ZALF", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "https://ror.org/01ygyzs83", "name_url": "", "description": "ROR", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Michael Sommer", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "sommer@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Michael Sommer", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "sommer@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research", "roles": ["contributor"]}], "themes": [{"concepts": [{"id": "infoMapAccessService"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Soil"}, {"id": "robotics"}, {"id": "topsoil"}, {"id": "erosion"}, {"id": "soil organic carbon"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "Germany"}, {"id": "Uckermark"}, {"id": "Quillow"}, {"id": "Dedelow"}, {"id": "CarboZALF Site"}], "scheme": "individual"}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=f9244f40-1765-4dbf-b45f-0225c2a31344", "rel": "information"}, {"href": "https://maps.bonares.de/wss/service/ags-relay/ags/guest/arcgis/rest/services/Zalf/Focus_Area_Site_CarboZALF/MapServer/WMSServer?"}, {"rel": "self", "type": "application/geo+json", "title": "f9244f40-1765-4dbf-b45f-0225c2a31344", "name": "item", "description": "f9244f40-1765-4dbf-b45f-0225c2a31344", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/f9244f40-1765-4dbf-b45f-0225c2a31344"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-12-09T00:00:00Z"}}, {"id": "d32bf90a-47cb-4106-978e-cfd08015dd94", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[13.12, 52.93], [13.12, 52.94], [13.13, 52.94], [13.13, 52.93], [13.12, 52.93]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "ecosystem services"}, {"id": "farming systems"}, {"id": "robotics"}, {"id": "digital technology"}, {"id": "needs assessment"}, {"id": "decision-support systems"}, {"id": "agroforestry"}, {"id": "alley cropping"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}, {"id": "Focus Area"}, {"id": "high value timber"}, {"id": "temperate agroforestry"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Germany"}, {"id": "L\u00f6wenberger Land"}], "scheme": "individual"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-02-26", "type": "Dataset", "created": "2024-02-05", "language": "eng", "title": "Project Area - DAKIS", "description": "<h3>Project:</h3>\n<p>In 2017, the Eberswalde University for Sustainable Development (HNEE) established an agroforestry system as part of an on-farm experiment with a conventional farmer. For this purpose, 360 individual trees and a total of six different high-quality tree species were planted in groups of three (the species of the individual trees within a group were always identical) on the study site. The tree species used were: wild pears (Pyrus pyraster), red oaks (Quercus rubra), wild service trees (Sorbus torminalis), hazel trees (Corylus colurna), service tree (Sorbus domestica) and sessile oaks (Quercus petraea). The 360 individual trees were distributed across seven 2 m wide strips and a hedge. A distance of 36 m was maintained between the strips. The strips and the hedge have a total length of 1.4 km. The distance in the row between the groups of trees is roughly 13 m.</p>\n\n<h3>Site description:</h3>\n<p>The agroforestry site is located in the municipality of L\u00f6wenberger Land (municipality of Gro\u00dfmutz), in the north of Brandenburg (33U 374170 5866893). The surrounding fields are also predominantly used for arable farming. The study area itself covers 6.25 hectares and is farmed conventionally. The soil consists of glacial sediments with the soil types loamy and light loamy sand and sands. The site is on average 54 m above sea level and has a total difference in altitude of 7.3 m. The terrain has a slight slope with a small depression in the north. For a large part of the area, the soil fertility index according to soil estimates is 45, for the northern depression area 31 (BB ALKIS). The site is located in the temperate, continental climate zone with a long-term average annual temperature of 9.5 \u00b0C and an average annual precipitation of 582 mm. </p>", "formats": [{"name": "CSV"}], "keywords": ["Soil", "ecosystem services", "farming systems", "robotics", "digital technology", "needs assessment", "decision-support systems", "agroforestry", "alley cropping", "opendata", "Focus Area", "high value timber", "temperate agroforestry", "Boden", "Germany", "L\u00f6wenberger Land"], "contacts": [{"name": "Leibniz Centre for Agricultural Landscape Research", "organization": "ZALF", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "https://ror.org/01ygyzs83", "name_url": "", "description": "ROR", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Ralf Bloch", "organization": "Eberswalde University for Sustainable Development", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "ralf.bloch@hnee.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-4088-9807", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Marco Donat", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "marco.donat@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-4254-6055", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Tobias Cremer", "organization": "Eberswalde University for Sustainable Development", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "tobias.cremer@hnee.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0001-7866-944X", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Sonoko D. Bellingrath-Kimura", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "sonoko.bellingrath-kimura@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0001-7392-7796", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Thomas Gaiser", "organization": "University of Bonn", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "tgaiser@uni-bonn.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-5820-2364", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research;Eberswalde University for Sustainable Development", "roles": ["contributor"]}]}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=d32bf90a-47cb-4106-978e-cfd08015dd94", "rel": "information"}, {"href": "https://metadata.bonares.de:443/smartEditor/preview/Aerial_view.jpg", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "d32bf90a-47cb-4106-978e-cfd08015dd94", "name": "item", "description": "d32bf90a-47cb-4106-978e-cfd08015dd94", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/d32bf90a-47cb-4106-978e-cfd08015dd94"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-02-26T00:00:00Z"}}, {"id": "12f3a7bb-02da-4c99-b5bd-9803a0960263", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[13.79, 53.38], [13.79, 53.38], [13.79, 53.38], [13.79, 53.38], [13.79, 53.38]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "robotics"}, {"id": "topsoil"}, {"id": "erosion"}, {"id": "soil organic carbon"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}, {"id": "robotic chamber system"}, {"id": "multifactorial small plot experiment"}, {"id": "topsoil dilution by subsoil admixture"}, {"id": "CO2 exchange measurements"}, {"id": "soil erosion state"}, {"id": "soil organic carbon stock changes"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Germany"}, {"id": "Brandenburg"}, {"id": "Uckermark"}, {"id": "Quillow"}, {"id": "Dedelow"}], "scheme": "individual"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-04-23", "type": "Dataset", "created": "2024-03-27", "language": "eng", "title": "Topsoil dilution by subsoil admixture had less impact on the SOC stock development than fertilizer form and soil erosion state", "description": "Current efforts to enhance the agroecosystems carbon (C) sink function for climate mitigation faced challenges, particularly with traditional measures having limited suitability for increasing soil organic carbon (SOC) stocks.  One way out of this dilemma could be to create an additional stable soil C sink by inducing SOC under saturation in the topsoil. In the past, attempts were made by abrupt topsoil dilution through subsoil admixture by means of deep tillage but with varying degrees of success. This was partly due to a lack of knowledge about the impact of soil condition like erosion state and N fertilization form ensuring optimum C input into the soil on the desired additional SOC accumulation and partly due to the lack of suitable experimental approaches to record the effect of all relevant factors simultaneously. To help solve these problems, a three-factorial experimental field trial were established: I.) \"moderate topsoil dilution\" (diluted vs non-diluted), II.) \"N fertilization form\" (mineral, i.e., calcium ammonium nitrate and urea vs organic, i.e., digestate) and III.)  \"soil types\" (Calcic Luvisol, Nudiargic Luvisol, and Calcaric Regosol) covering the typical range of erosion states in the hummocky ground moraine landscape of NE Germany. \nThis datasets contains weather data, NDVI/RVI measurements data , soil texture data, soil and plant analysis data, CO2 flux obtained using a novel robotic chamber system that were conducted from 23.07.2020 (after manipulation) - 29.06.2021 (Harvest).\n\nThis table contains the index of all tables forming this data collection.\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "formats": [{"name": "CSV"}], "keywords": ["Soil", "robotics", "topsoil", "erosion", "soil organic carbon", "opendata", 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"administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Katja Kramp", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "katja.kramp@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Marten Schmidt", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "marten.schmidt@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Gernot Verch", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "gernot.verch@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Michael Sommer", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "sommer@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "J\u00fcrgen Augustin", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "jaug@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Michael Sommer", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "sommer@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "Leibniz Centre for Agricultural Landscape Research", "roles": ["contributor"]}], "title_alternate": "Data collection: Part 0/5, table: Index"}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=12f3a7bb-02da-4c99-b5bd-9803a0960263", "rel": "information"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/12f3a7bb-02da-4c99-b5bd-9803a0960263", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "12f3a7bb-02da-4c99-b5bd-9803a0960263", "name": "item", "description": "12f3a7bb-02da-4c99-b5bd-9803a0960263", "href": 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The dynamics of fixed-wing UAVs are modelled by unicycle-type equations with nonholonomic constraints, assuming that UAVs fly at constant altitudes in the nominal operation mode. The controller is designed such that all fixed-wing UAVs as a group can collaboratively track a desired target's position and velocity. We first present conditions on the relative speeds of tracking UAVs and the target to ensure that the tracking objective can be achieved when UAVs are subject to constant speed constraints. We construct a reference velocity that includes both the target's velocity and position as feedback, which is to be tracked by the group centroid. In this way, all vehicles' headings are controlled such that the group centroid follows a reference trajectory that successfully tracks the target's trajectory. A spacing controller is further devised to ensure that all vehicles stay close to the group centroid trajectory. Trade-offs in the controller design and performance limitations of the target tracking control due to the constant-speed constraint are also discussed in detail. Experimental results with three fixed-wing UAVs tracking a target rotorcraft are provided.", "keywords": ["FOS: Computer and information sciences", "Computer Science - Robotics", "0209 industrial biotechnology", "Optimization and Control (math.OC)", "FOS: Electrical engineering", " electronic engineering", " information engineering", "FOS: Mathematics", "Computer Science - Multiagent Systems", "02 engineering and technology", "Systems and Control (eess.SY)", "Electrical Engineering and Systems Science - Systems and Control", "Mathematics - Optimization and Control", "Robotics (cs.RO)", "Multiagent Systems (cs.MA)"]}, "links": [{"href": "https://doi.org/http://arxiv.org/abs/1810.00182"}, {"rel": "self", "type": "application/geo+json", "title": "5517e4d4790bb696b91f9a33fc7c069d", "name": "item", "description": "5517e4d4790bb696b91f9a33fc7c069d", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/5517e4d4790bb696b91f9a33fc7c069d"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-01T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=robotics&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=robotics&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=robotics&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=robotics&offset=17", "hreflang": "en-US"}], "numberMatched": 17, "numberReturned": 17, "distributedFeatures": [], "timeStamp": "2026-09-23T08:51:35.261946Z"}