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Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
19,247 datasets
Great Britain landscape and agricultural management archetypes are defined at three levels of adaptation opportunity using data-driven machine learning. Tier 1 quantifies broad soil, land cover, and population differences; Tier 2 captures nuanced variations within farmland landscapes; Tier 3 focuses on socioeconomic and agro-ecological farm management characteristics for England and Wales.
Crop Growth Detection Using Computer Vision is a dataset hosted on Kaggle. The dataset likely contains images for training computer vision models to monitor agricultural plant development. Metadata such as column details, sample data, and license information is currently unavailable.
Treek-CE-001 is a dataset published on Kaggle. Its title suggests a focus on tree species, likely for classification or ecological modeling. No further details on size, origin, or specific attributes are available from the provided metadata.
Global Food Dataset is a dataset hosted on the Kaggle platform. Its specific contents, such as column names, data types, and row count, are not described in the available metadata. The dataset likely contains information related to food production, supply, or consumption on a worldwide scale.
Food inspection related data is hosted on Kaggle. The dataset's specific content, size, and origin are not detailed in the provided metadata. Further details about the records, such as the number of inspections or features, require verification after download.
mcd_nutritional_value is a dataset published on Kaggle. Its title suggests it contains nutritional information for menu items from the McDonald's restaurant chain. The specific contents, scale, and origin of the data require verification after download.
Featuring results from pesticide residue analyses of 390 composite soil samples, 370 composite green coffee samples, and 30 pulp/parchment samples, screening for 586 pesticide molecules. The data was collected from 130 Arabica and Robusta coffee farms across Brazil, Mexico, Nicaragua, and Vietnam in 2020-2021.
Wake County farmers market data includes locations, hours, and descriptions sourced from NC Farm Fresh. The dataset is provided by Wake County and was last updated on March 22, 2026. It is available in multiple formats including CSV and GeoJSON.
Hearing documents related to a specific London address, 7 Brannan Street, published by the Greater London Authority. The dataset was last updated on March 25, 2026. The content likely contains official records, submissions, or transcripts from a planning or regulatory hearing.
A dataset titled '15 classes crop' published on Kaggle. The title suggests it contains imagery or data related to 15 distinct types of cultivated plants. The dataset's specific contents, such as the number of images, geographic origin, and collection method, are unknown and require verification after download.
World Development Indicators data measures the ratio of total freshwater withdrawal to total renewable freshwater resources, accounting for environmental needs. It tracks water stress levels globally, with sectoral breakdowns following ISIC standards for agriculture, forestry, fishing, manufacturing, electricity, and services. The World Bank compiles this indicator, also known as water withdrawal intensity.
World Development Indicators data measures the total volume of aquatic species caught and farmed by countries. It includes harvest from commercial, industrial, recreational, subsistence, mariculture, and aquaculture activities. The data is compiled by the World Bank's World Development Indicators organization.
World Development Indicators provides a dataset on total annual carbon dioxide equivalent emissions per capita, excluding fluxes from Land Use, Land-Use Change and Forestry. It covers emissions from agriculture, energy, waste, and industrial sectors. The data source is the World Bank.
World Bank Development Indicators provide data on agricultural nitrous oxide emissions as a percentage of total national emissions. The dataset originates from the WDI Database Archives and covers emissions from fertilizer use, animal waste management, and agricultural burning. Specific temporal coverage, row count, and column details are not provided in the input.
Agricultural nitrous oxide emissions data from the World Bank's WDI Database Archives. It quantifies emissions produced through fertilizer use, animal waste management, and agricultural waste burning. The specific temporal coverage and row count are not provided.
Total greenhouse gas emissions data tracks the percentage change from a 1990 baseline for each year. The World Bank's WDI Database Archives compiled this indicator, which aggregates CO2, CH4, N2O, and F-gases while excluding short-cycle biomass burning. The temporal coverage and update frequency are not specified.
Total greenhouse gas emissions measured in kilotons of CO2 equivalent. Data is compiled by the World Bank's World Development Indicators (WDI) Database Archives from national and international sources. The time range and total number of country-year records are not specified.
Industry shares of organic water pollutant emissions from food and beverage manufacturing (ISIC division 31). The data measures emissions using biochemical oxygen demand (BOD), a standard test for organic pollutants in water treatment. It is sourced from the World Bank's WDI Database Archives.
Gross ODA aid disbursement data aggregates financial flows from DAC donors into four key production sectors: agriculture, forestry and fishing; industry, mining and construction; trade policy and regulations; and tourism. Figures are reported in current U.S. dollars. The data is compiled by the Africa Development Indicators organization from the World Bank platform.
Gross ODA aid disbursement for forestry, DAC donors total (current US$) tracks financial flows for forestry-related development assistance. Data are reported in current U.S. dollars and cover categories like forestry policy, development, fuelwood, education, and research. The dataset originates from the Africa Development Indicators organization.