{"type": "FeatureCollection", "features": [{"id": "10.57745/5TJJZA", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:25:27Z", "type": "Dataset", "title": "Innovative cropping systems designed to reach both environmental and production targets: data set of biotic and abiotic variables from a twelve-year French field trial.", "description": "The data set describe variables collected from a French (N 48.84\u00b0, E 1.95\u00b0) field trial, over a twelve-year period (2009-2020), in which four innovative cropping systems designed to reach multiple environmental and production goals were assessed. Both biotic and abiotic variables were measured. In a previous data paper, we focused on nitrogen (N) fluxes collected from two systems, over eight years (2009-2016). In the present one, we enlarge the scope of the variables, including more crop descriptions and environmental indicators, from the all four systems, and over a longer period (2009-2020). The biotic data are: growth stages, aboveground plant N content and biomass collected at different growth stages according to the species, yield components of all the crops, yield harvested with a combine machine, crop sequences. No weed, crop disease, and pest\u2019s data are described. The abiotic data are soil physical and chemical properties (i.e. texture, calcareous content, pH, organic carbon (C) contents, and N contents) collected at different assessment periods. All agricultural practices and climate were regularly recorded, and the treatment frequency indexes and the energy consumptions were computed. The four innovative cropping systems were designed with new combinations of agricultural practices; they differed in terms of pesticide uses, N inputs, tillage practices, and crop sequences. These data could be used for benchmark to design low-input systems, to improve models for parameterization and validation, and to increase the predictive accuracy of models of growth and development for crops, specifically orphan species as linseed, faba bean of hemp, and soil C and soil N fluxes in original conditions.", "keywords": ["Crop biomass", "Yield", "Agricultural Sciences", "Life Sciences", "Agriculture", " Forestry", " Horticulture", " Aquaculture", "cropping system", "Long-term field trial", "Agronomy", "Energy consumption", "Treatment frequency index", "Agricultural practices", "Crop growth", "Agriculture", " Forestry", " Horticulture", " Aquaculture and Veterinary Medicine", "Agricultural practices.", "Long term field trial", "Agriculture", " Forestry", " Horticulture"], "contacts": [{"organization": "Colnenne-David, Caroline", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.57745/5TJJZA"}, {"rel": "self", "type": "application/geo+json", "title": "10.57745/5TJJZA", "name": "item", "description": "10.57745/5TJJZA", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.57745/5TJJZA"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-01-01T00:00:00Z"}}, {"id": "1854/LU-01JV4A4VV9MSQATBRHJD3K77RH", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:26:33Z", "type": "Journal Article", "created": "2025-04-25", "title": "Multi-dimensional evaluation of site-specific tillage using mouldboard ploughing", "description": "Due to the lack of high-resolution data on soil compaction using proximal sensing technology, mouldboard (MB) ploughing is carried out at uniform speed and depth, which does not necessarily respond to tillage needs due to compaction level and depth that are spatially variable across the field area. This study aims at simulating the comparative performance of different site specific tillage (SST) schemes (e.g., speed and depth) and uniform tillage of a MB plough using a high resolution soil packing density (PD) maps. An on-the-go soil sensing platform was used to predict and map topsoil PD in a Luvisol field in Belgium and two Cambisol fields in Spain. All fields were divided into three management zones, to each of which different tillage speed and depth were assigned based on PD maps. A MATLAB simulation code was developed to predict and compare the power efficiency, fuel consumption, emission of carbon dioxide (CO2) from diesel combustion and total operating time of uniform, SST depth, SST speed, and hybrid SST depth and speed MB ploughing schemes. Results revealed that the degree of soil compaction varies from field to field and within fields, which necessitates SST tillage practices. It was found that the depth control was the best performing SST in fields having large areas with low (PD < 1.55) and medium (PD = 1.55 - 1.70) compaction levels, resulting in the largest reduction in draught (33.7 % - 57 %), fuel consumption and CO2 emission (29.6 % - 50.1 %), while using the same operational time as that of the uniform tillage. However, in cases when the majority of the field area was highly compacted (PD > 1.70), potential savings were smaller at 22.5 %, with the speed control emerged as a more effective control scheme. It is recommended to validate the simulation results of SST of MB ploughing in fields to enable assessing the impacts they have on crop responses and soil quality.", "keywords": ["Agriculture and Food Sciences", "CALIBRATION", "NEAR-INFRARED SPECTROSCOPY", "Precision agriculture", "IN-SITU", "SOIL COMPACTION", "Compaction", "LOAM", "Energy consumption", "DENSITY", "ONLINE SENSOR", "On-the-go soil sensing", "Simulation", "TOPSOIL COMPACTION"]}, "links": [{"href": "https://doi.org/1854/LU-01JV4A4VV9MSQATBRHJD3K77RH"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20and%20Tillage%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "1854/LU-01JV4A4VV9MSQATBRHJD3K77RH", "name": "item", "description": "1854/LU-01JV4A4VV9MSQATBRHJD3K77RH", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/1854/LU-01JV4A4VV9MSQATBRHJD3K77RH"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-10-01T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Energy+consumption&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=Energy+consumption&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=Energy+consumption&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Energy+consumption&offset=2", "hreflang": "en-US"}], "numberMatched": 2, "numberReturned": 2, "distributedFeatures": [], "timeStamp": "2026-04-16T22:24:56.137968Z"}