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Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
17,975 datasets
Bradley–Terry model results derived from a gamified choice experiment with 189 farmers. The dataset, authored by Sidol Houngbo, was last updated on March 25, 2026, and focuses on varietal preferences for traditional African vegetables. It is shared under a CC-BY-4.0 license.
Sidol Houngbo's dataset contains the traits and trait levels used to design a choice experiment for farmers, focusing on traditional African vegetables. The dataset is 5.5 KB in size and was last updated on March 25, III. It is shared under a CC-BY-4.0 license on figshare.
A 9.5 KB Excel file summarizing related studies in agricultural image analysis and cloud-based frameworks. The dataset was authored by Xiao Fu and is available under a CC-BY-4.0 license on figshare. It was last updated on March 25, 2026.
A 9.5 KB agricultural dataset examines the effects of different tillering fertilizers on yield and contribution rates. The data, authored by Jun Deng, is structured in an XLS file and focuses on the main stem and different tiller orders.
A 9.5 KB agricultural dataset examines the effects of various tillering fertilizers on plant growth. It contains tabular data in XLS format, authored by Jun Deng and last updated in March 2026. Specific row and column counts are unknown.
Cloud to Street - Microsoft Flood and Clouds Dataset consists of Sentinel-1 and Sentinel-2 satellite data chips. Each chip contains corresponding labels for water and clouds, with data organized by unique event identifiers. The dataset is hosted on AWS Open Data and is provided by the Radiant Earth Foundation under a CC-BY-4.0 license.
Five NPP files detail biomass, productivity, and nutrient content for upper montane tropical forest sub-types along John Crow Ridge, Jamaica. Measurements include ANPP estimates of 654-1,057 g/m2/year and above-ground biomass ranging from 23,000 to 34,000 g/m2. The data was collected by ORNL_CLOUD from 1974 to 1978.
NOAA_NCEI provides a 1963 limnological survey of Great Bear Lake, a 29,500 km² Arctic lake. The Arctic Unit of the Fisheries Research Board of Canada conducted the program, occupying 103 stations from July to September 1963. Observations were made from the vessel M.V. Radium Gilbert, equipped with an oceanographic winch and echo sounder.
Kaggle hosts this dataset focused on crop recommendation. The dataset likely contains features for recommending suitable crops, though specific columns and size are unknown. Its author, organization, and last update date are not provided.
Weekly updated global map data contributed by a worldwide community. The OpenStreetMap (OSM) collection includes features such as roads, trails, cafés, and railway stations. Data is made available by the Connecting Health Outcomes Research and Data Systems (CHORDS) organization.
A dataset for detecting cattle behavior and skin disease, intended for AI-powered precision livestock farming. The dataset is hosted on Kaggle, but specific details on its size, creation date, and authorship are not provided. Its description suggests it contains visual data for automated monitoring.
Farmboundries-sbuk is a geospatial dataset likely containing polygon boundaries for agricultural fields. The dataset is published on Kaggle, but its specific origin, collection method, and temporal coverage are not detailed in the available metadata. Further details about the data's scale, accuracy, and specific geographic focus require verification after download.
Indian Cattle Breed Information Dataset is a collection of data on cattle and buffalo breeds native to India. The dataset likely contains information on breed traits and characteristics. The author, organization, and last update date are unknown.
A dataset titled 'it26c_cropeado_v2' is hosted on Kaggle. The title suggests it likely contains processed images related to agricultural crops. Metadata is minimal; the author, organization, and specific details are unknown.
Sensor data collected from Zone 09a in South Trees Inlet (lower) as part of the Port Curtis Integrated Monitoring Program (PCIMP). The dataset covers bioaccumulation measurements in oysters from 15 September 2007 to 16 November 2018. It is hosted by the Australian Ocean Data Network and was last updated on the platform in March 2026.
Sensor-collected sediment data from the Port Curtis Integrated Monitoring Program in South Trees Inlet, Australia. The Australian Ocean Data Network manages this data, which covers a three-year period from December 2006 to December 2009. The dataset's specific parameters are described in HTML format.
A dataset titled 'trees_mask' published on Kaggle. The title suggests it contains information related to tree cover or land classification. No further metadata is available to confirm its specific contents, size, or origin.
VinDr-Mammo-MLO-Crop-8k is a collection of medical images hosted on Kaggle. The title suggests it contains mammogram images, likely in the mediolateral oblique (MLO) view, that have been cropped. The dataset's specific size, origin, and annotation details are not provided in the available metadata.
Additional_trees is a dataset published on the Kaggle platform. The dataset's title suggests it contains information related to trees, potentially for forestry or environmental analysis. The available metadata is minimal, so the specific content, scale, and origin require verification after download.
A collection of images related to palm trees, published on Kaggle. The dataset's specific size, origin, and collection method are not detailed in the provided metadata. Its content likely supports tasks in plant recognition or ecological studies.