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Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
19,247 datasets
SeyhaLite curated and cleaned this dataset to support Khmer Language Models and translation systems. The data provides clear and accurate information about agricultural terminology and farming. It was last updated on February 13, 2026.
Aggregating overview statistics for USDA Food and Nutrition Service programs, including SNAP, WIC, child nutrition, and food distribution programs. It includes a summary of annual data for fiscal years 2021 to 2025 and key reports from October 2025.
Featuring overview statistics for USDA Food and Nutrition Service programs, including SNAP, WIC, child nutrition, and food distribution programs. It includes a summary of annual data for fiscal years 2021 to 2025 and key reports from October 2025.
Data related to agriculture, published on Kaggle. The specific variables, scale, and collection details are not provided in the metadata. The dataset's content and quality require verification after download.
25,000+ realistic user profiles are mapped to daily caloric targets and macro-nutrient goals. The dataset likely contains demographic and nutritional planning data. The source and creation details are unknown.
A dataset titled 'cropped_zalo' published on Kaggle. The title suggests it contains images, likely cropped for computer vision tasks. The dataset's specific content, size, and origin are not detailed in the provided metadata.
Line features represent the centerlines of street corridors in Orange County, NC, including Chapel Hill and Carrboro. The dataset is maintained by Orange County and the towns of Chapel Hill and Carrboro, with updates applied as needed.
Replication Data for: Phoresy-induced shifts in advertisement call and interspecific variation in two bromeligenous treefrogs contains data collected for Nyctimantis arapapa males. The dataset was authored by Maria Eduarda Cunha and last updated on March 16, 2026.
Cattle breed data for buffaloes and cows, sourced from Kaggle. The dataset's specific content, size, and origin are not detailed in the available metadata. Columns and data structure require verification after download.
A dataset likely containing information related to food offerings in hostels. It was published on Kaggle, but the specific collection date and creator are unknown. The dataset's scope and content must be verified after download.
Harvesting the Haze is a dataset published on Kaggle. Its title suggests a focus on agricultural or environmental phenomena, potentially related to crop yields or atmospheric conditions. The dataset's specific content, size, and authorship are unknown from the provided metadata.
Rock Outcrop Critical Environmental Features identified during the City of Austin's development review process. Data was digitized from construction plans, environmental assessments, and staff field observations into a versioned database. Records are available from 1995 onward.
City of Austin provides food establishment inspection scores from the last 3 years. Inspections are conducted by Austin Public Health Environmental Health Officers in accordance with Texas Food Establishment Rules. The dataset includes tags for Geodata, Inspection, Health, Restaurant, Score, and Food.
GCI30 is a global cropping intensity product at 30-meter resolution, the first dataset of its kind at this scale. It was generated by Miao Zhang of the Aerospace Information Research Institute using reconstructed NDVI time series from Landsat-8, Sentinel-2, and MODIS satellite imagery. The data enumerates valid cropping cycles per pixel and provides average intensity for the period from 2016 to 2018.
Nutrition data published on Kaggle. The specific contents, scale, and origin are not detailed in the available metadata. The dataset's structure and potential applications must be verified after download.
A dataset related to food, likely containing information about ingredients, recipes, or nutritional content. It is hosted on Kaggle, but detailed metadata about its creation, size, and structure is unavailable. The author, organization, and last update date are unknown.
A dataset titled 'pre-processed crop 224' is hosted on Kaggle. The title suggests it likely contains images of agricultural crops, potentially pre-processed to a 224x224 pixel resolution, a common size for computer vision models. No further metadata on size, origin, or specific crop types is available.
iFood_df is a dataset from Kaggle, likely related to the iFood delivery platform. The dataset's specific content, size, and features are unknown from the provided metadata. Its author, organization, and last update date are also not specified.
A dataset titled 'ifood_df.csv' published on Kaggle. The title suggests it likely contains information related to food delivery services, possibly from the iFood platform. The dataset's specific content, size, and origin are not detailed in the provided metadata.
Uncompleted_labeled_rfood_ck is a dataset hosted on Kaggle. Its title suggests it contains labeled data related to food items, likely for classification tasks. The dataset's author, organization, and specific details are not provided in the metadata.