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Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
17,975 datasets
Crop ROI NTU CP v1 is a dataset published on Kaggle. Its title suggests a focus on crop regions of interest, likely for agricultural or remote sensing analysis. The dataset's specific content, size, and origin are not detailed in the available metadata.
A dataset titled 'crop roi rest' hosted on Kaggle. The title suggests it relates to crop analysis, potentially focusing on return on investment (ROI) or agricultural yield. No further metadata is available to confirm its specific contents, size, or origin.
A Kaggle-hosted dataset of plant disease images formatted for computer vision models. The collection contains over 38,000 images, is balanced and augmented, and each image is sized at 256×256 pixels. The dataset is specifically prepared for training and evaluating the EfficientNet-B4 architecture.
Colombia's national list of establishments certified for Good Laboratory Practices in pharmaceutical analysis. The dataset includes certified laboratories with details on their location, certification status, and validity dates, provided by the Colombian government's open data portal. It was last updated in March 2026.
Geospatial data from the U.S. Department of the Interior identifies Bureau of Land Management lands open or restricted for forest product removal, including fuelwood and Christmas trees. The dataset categorizes land availability and reasons for restrictions. It is available in multiple formats including GeoJSON, KML, and CSV.
Forestry products are of public interest and have permit requirements to remove them. This dataset helps users locate acceptable and unacceptable Bureau of Land Management lands for removing forest products like fuelwood and Christmas trees. It includes categories for each product and identifies open lands and restricted areas with reasons for restrictions.
Forest product removal data for Bureau of Land Management lands in Colorado identifies areas open and closed for activities like fuelwood and Christmas tree collection. The dataset includes categories for each forestry product and reasons for access restrictions. It is provided by the Department of the Interior and was last updated in March 2026.
TreeOfLife-200M provides nearly 214 million images representing 952,257 taxa across the tree of life. It is the largest public ML-ready dataset for computer vision in biology, compiled from four biodiversity data providers including GBIF and Encyclopedia of Life.
AgroR is an R software package for statistical analysis and visualization in agricultural sciences. It performs analysis of variance for common experimental designs, tests assumptions, conducts multiple comparisons, and generates specialized graphics. The package was authored by Gabriel Danilo Shimizu and is documented in a 2025 publication.
639 predatory snails were initially removed from twelve 150-square-meter reef plots in the Florida Keys to evaluate a coral conservation method. The dataset documents a multi-phase experiment including removal events and five subsequent surveys over 19 months to track snail recolonization. It was collected by NOAA's Coral Reef Conservation Program from 2011 to 2013.
Great Britain's timber price indices, released as National Statistics on 17 May 2018. The data, produced by the Forestry Commission, includes the Coniferous Standing Sales Price Index and the Softwood Sawlog Price Index based on sales by the Forestry Commission and Natural Resources Wales. It presents data up to March 2018.
National Statistics on Timber Price Indices released by the UK Forestry Commission on 18 May 2017. The data presents two primary indices for Great Britain: the Coniferous Standing Sales Price Index and the Softwood Sawlog Price Index. It is based on sales by the Forestry Commission and Natural Resources Wales.
Timber Price Indices are National Statistics produced by the Forestry Commission and released on 16 May 2019. The data presents price indices for coniferous standing sales and softwood sawlogs based on sales by the Forestry Commission and Natural Resources Wales. The dataset covers Great Britain with data up to March 2019.
Great Britain's approved seed stands and seed orchards for forest reproductive materials, categorized by genetic quality. The data includes locations designated as 'Source Identified', 'Selected', 'Qualified', or 'Tested' based on recognized superior characteristics. It is sourced from the Forestry Commission's FRM Basic Material layer.
Post 1988 Agricultural Land Classification (ALC) site survey data includes scanned original paper maps and survey reports for individual sites. The data was surveyed in detail between 1989 and 1999 by the Ministry of Agriculture, Fisheries and Food, using the grading methodology from the 'Agricultural Land Classification of England and Wales' guidelines. Some surveys also include unedited sample point soils data and soil pit descriptions.
South Anston, Harrycroft Quarry is a detailed Agricultural Land Classification (ALC) site survey from the UK's Ministry of Agriculture, Fisheries and Food. The dataset includes scanned original paper maps and reports from surveys conducted between 1989 and 1999, using the grading methodology from the 'Agricultural Land Classification of England and Wales' guidelines. For some surveys, unedited sample point soils data and soil pit descriptions are also available.
South Hiendley, Brierley Road is a detailed Agricultural Land Classification (ALC) survey conducted by the Ministry of Agriculture, Fisheries and Food. The dataset includes scanned original paper maps and reports for a site surveyed between 1989 and 1999, using the grading methodology from the official 'Agricultural Land Classification of England and Wales' guidelines. For some surveys, unedited sample point soils data and soil pit descriptions are also available.
Post-1988 Agricultural Land Classification (ALC) survey data for the Eastfield site in Scarborough, collected by the Ministry of Agriculture, Fisheries and Food between 1989 and 1999. The dataset includes scanned original paper maps, survey reports, and for some surveys, unedited sample point soils data and soil pit descriptions. It uses the grading methodology from 'Agricultural Land Classification of England and Wales,' with Grade 3 subdivided into subgrades 3a and 3b.
Agricultural Land Classification survey data for the Whickham site in Gateshead, collected by the UK Ministry of Agriculture, Fisheries and Food between 1989 and 1999. The dataset includes scanned original paper maps, survey reports, and for some surveys, unedited sample point soils data and soil pit descriptions. It is provided by the Government Digital Service and contains Natural England and Ordnance Survey data.
Post-1988 Agricultural Land Classification (ALC) site survey data comprising scanned original paper maps and reports for individual sites surveyed in detail between 1989 and 1999 by the Ministry of Agriculture, Fisheries and Food. The data includes the subdivision of Grade 3 into subgrades 3a and 3b, uses the current grading methodology, and for some surveys includes unedited sample point soils data and soil pit descriptions.