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Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
18,183 datasets
Food Picture 10 Class is a dataset published on Kaggle. The title suggests it contains images organized into 10 distinct food categories. The dataset's specific size, origin, and collection details are not provided in the available metadata.
Food price index data published on Kaggle. The dataset likely tracks price changes for various food commodities or categories over time. Specific details regarding the source, time period, and geographic coverage are not provided in the available metadata.
5.5 KB of experimental agricultural data on variety, fertilizer doses, and spacing for different crops under thirteen cropping patterns. The dataset, created by Md. Mostahed Hossain, was last updated on March 17, 2026, and is shared under a CC-BY-4.0 license. It appears to focus on enhancing food production and land use efficiency through improved cropping patterns.
Nitrogen deposition rates in milligrams per liter of precipitation are provided for Chinese counties. This dataset is one of seven compiled in the early 1990s as inputs for the DNDC biogeochemistry model. The collection was assembled by SCIOPS from multiple Chinese sources, with all data representing the county scale for the year 1990.
NASA EarthData hosts a Land Use dataset from the China County Data Collection. It contains three variables describing agricultural land use for Chinese counties: cropland area, pastureland/grassland area, and area sown. The data was compiled by SCIOPS from multiple Chinese sources for the year 1990.
County-level data for China in 1990 includes area in hectares, centroid latitude and longitude, and population counts. This dataset was compiled by SCIOPS from multiple Chinese sources as an input for the DNDC agricultural ecosystem model. It represents one of seven thematic collections for that year.
1990 county-level datasets from China compiled for the DNDC biogeochemistry model. The collection includes seven thematic datasets on agricultural management, crops, nitrogen deposition, geography, population, land use, livestock, and soil properties. The data was aggregated by SCIOPS from multiple Chinese sources for use at the University of New Hampshire.
Replication data for a study on advertisement call shifts in Nyctimantis arapapa and Phyllodytes luteolus treefrogs. The dataset, authored by Maria Eduarda Cunha and hosted by Harvard Dataverse, was last updated in April 2026. It likely contains measurements of acoustic parameters collected from male frogs.
Chesapeake street centerlines represented as vector lines, published by the City of Chesapeake. The data includes VDOT_Rank classifications (LOS-LOCAL, COL-COLLECTOR, ARP-ARTERIAL PRIMARY, ARM-ARTERIAL MINOR) and street types following U.S. Postal standards. It was last updated on 2026-03-08.
Sensor data likely collected from a mobile sink node within an agricultural IoT network. The dataset is published on Kaggle, but its specific collection methodology, scale, and temporal coverage are unknown. It may contain time-series readings from environmental sensors deployed in a farming context.
Raw data for figures from a study on accelerated oxidative aging of microplastics and its effect on copper sorption behavior. The dataset was authored by Christie Sayes and published via the Texas Data Repository Harvested Dataverse. It was last updated on 2026-04-27.
Crops_diseases is a dataset hosted on Kaggle, likely containing images for identifying plant pathologies. The dataset's specific size, origin, and annotation details are not provided in the available metadata. Further inspection after download is required to confirm the exact content, scale, and labeling methodology.
Goal_tree is a dataset hosted on Kaggle. Its title suggests it contains information structured as a hierarchy of goals, objectives, or tasks. The dataset's author, organization, size, and specific contents are not detailed in the available metadata.
Raw site-level application data for Day Care Home providers seeking participation in the Texas Child and Adult Care Food Program. The dataset covers seven program years from 2018-2019 to 2024-2025, regardless of final approval status. It originates from the Texas Department of Agriculture's TX-UNPS meal program database.
City of Austin Resource Recovery provides daily waste collection and diversion data. The report includes fields for Report Date, Load Type, Load Weight, Drop off Site, and Route Type. This operational data supports tracking waste diversion goals and resource recovery efforts.
Records of completed and in-progress work orders for street sign installation and maintenance in Austin's full purpose jurisdiction. The dataset tracks work managed by the Signs & Markings division from June 2018 to present.
ML-ready dataset designed for predicting agricultural harvests approximately four weeks in advance. The description indicates it contains 1500 data points, though the specific features are not detailed. It was sourced from Kaggle, but the original author and organization are unknown.
A machine-learning-ready dataset for forecasting harvest operations approximately six weeks in advance. The dataset appears to be derived from operational data, with a sample size of 1500 records. It was sourced from Kaggle, but the original author, organization, and specific creation date are unknown.
A multi-source fused dataset with a derived harvest target for 1500 wheat parcels. The data combines raw inputs from multiple sources to create a parcel-level target variable. The author, organization, and specific temporal coverage are not provided in the metadata.
County-level estimates of nitrogen and phosphorus from commercial fertilizer for farm and nonfarm uses across the conterminous United States. The data spans 26 years from 1987 through 2012, with estimates derived from AAPFCO sales data and allocated using Census of Agriculture expenditures and population density. The dataset was compiled by John W. Brakebill and builds on methods from a 2012 U.S. Geological Survey report.