Loading...
Loading...
Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
17,975 datasets
Iman Hindi provides average crop yield parameters across all teams for a full episode. The dataset is a 5.5 KB Excel file with unspecified row and column counts, released under a CC BY 4.0 license.
MAE test loss results for LSTM and MLP models predicting crop parameters, with and without feature selection. The dataset is a 5.5 KB Excel file authored by Iman Hindi and updated in March 2026.
Iman Hindi's figshare dataset provides a structured list of crop parameters and their corresponding measurement units. The resource is a 5.5 KB Excel file, last updated in March 2026.
2026 data from Martine Asobasi examines predictors of household dietary diversity. The 9.5 KB XLS file contains tabular data on food security and socioeconomic factors.
A 5.5 KB Excel dataset on household-level food security, measuring the proportion of households meeting Recommended Dietary Allowances from their own food production. Created by Martine Asobasi and last updated in March 2026, it contains tabular survey data with an unknown row count.
A 5.5 KB tabular dataset categorizing household dietary diversity based on own food production. Created by Martine Asobasi and last updated in March 2026, it is shared under a CC BY 4.0 license.
A 5.5 KB Excel file contains counts of French farmers categorized by their level of adoption within control and treatment groups. Douadia Bougherara published this data from a study involving an online survey and a randomized experiment. The record was last updated in March 2026.
276 paired treatments from 67 long-term agricultural experiments quantify soil organic carbon sequestration rates. The data indicates a change from conventional to no-till can sequester 57 ± 14 g C m–2 yr–1, while enhancing rotation complexity sequesters 14 ± 11 g C m–2 yr–1. This dataset was compiled by Tristram O. West of Oak Ridge National Laboratory for a global analysis.
A template prepared by the University of Birmingham to assist countries in developing National Strategic Action Plans for crop wild relatives. It is based on FAO-commissioned resource books and refined through research and feedback from countries including Mauritius, South Africa, and Zambia. The template is provided in MS Word and PDF formats.
A 2015 survey conducted by helicopter flights across Great Britain to identify suspicious larch areas and monitor tree, woodland, and forest health. The dataset was created by the Forestry Commission and retired as it is no longer current or relevant. Flights were also used to check compliance with Statutory Plant Health Notices.
Replication package for the paper 'Public Economic Benefits of Agricultural Conservation: Evidence from Housing Markets'. The data and code were authored by Wei Zhang and last updated on April 16, 2026. It is intended to replicate all tables and figures from the associated journal article.
333NDVIRGB is a dataset published on Kaggle. The title suggests it contains satellite or aerial imagery data, likely combining NDVI (Normalized Difference Vegetation Index) and RGB (Red, Green, Blue) spectral bands. The specific content, scale, and origin are unverified due to minimal metadata.
Fooddata is a dataset hosted on the Kaggle platform. Its specific contents, size, and origin are not detailed in the available metadata. The dataset likely contains information related to food, nutrition, or agriculture.
1966 to 2022 data provides a reconstructed monthly panel of irrigation for India's Rabi season crops. It translates district-level harvested crop area into consistent monthly irrigation metrics for wheat, barley, rapeseed, and sorghum. Created by Klara Kuemmerle and hosted by Harvard Dataverse, the dataset captures irrigation variation through changes in crop composition and harvested area.
Supplementary material for a study on trade-facilitated dispersal shaping the genetic structure of farm-raised Chinese cobras. It contains supporting tables S1-S9 and figures S1-S10. The dataset is provided by author xiangmo li under a CC BY 4.0 license.
Jie Qiu's dataset provides source data for the article 'Resolving source–sink spatial mismatch curbs agricultural nitrogen pollution'. The data likely contains tabular information on nitrogen sources and sinks, supporting analysis of spatial mismatches in agricultural systems. It is designed for applications in environmental management and spatial optimization.
Agriculture and Agri-Food Canada's Crop Stress Index (CSI) dataset models water stress for crops. It calculates CSI as 1-(AET/PET) using the Versatile Soil Moisture Budget model with temperature, precipitation, and crop-specific coefficients. The dataset is modeled for climate stations and was last updated in February 2026.
Crop development stage data for Canada, represented on a numerical scale. The dataset models crop phenology using a biometeorological time scale for cool-season crops and a Crop Heat Unit algorithm for warm-season crops. It is produced by Agriculture and Agri-Food Canada and was last updated in February 2026.
A standardized framework for implementing and monitoring 24-hour dietary recall data within the PROVEN-DIA clinical trial. The dataset, authored by Ana Laura Fogaça, details research design and data management procedures for diet records. It is a 21.4 KB XLSX file shared under a CC BY 4.0 license.
March 2026 data from the PROVEN-DIA clinical trial, authored by Ana Laura Fogaça, detailing a standardized framework for implementing and monitoring 24-hour dietary recall procedures. The dataset is a 16.9 KB XLSX file with unknown row and column counts.