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Crop yield, soil data, pest surveillance, livestock, food composition, precision farming
17,775 datasets
An interview with an individual named Turo, discussing environmental change, land use, and fishing practices. The dataset is a 65.0 KB EAF (ELAN Annotation Format) file, authored by Marie-Annick Moreau and last updated on June 3, 2026. It likely contains a time-aligned transcript of an audio recording.
Geoscience Australia's 2021 seminar series links planetary science to food security. Four speakers detail how geology, seabed mapping, satellite imagery, and positioning technology influence Australian agriculture and aquaculture. The dataset likely contains geospatial information supporting the analysis of food production systems.
mVAM mobile survey data tracks food security trends in Chad. The World Food Programme (WFP) collects this high-frequency data to support humanitarian decision-making. The dataset was last updated on 2026-05-07.
World Food Programme's mVAM project collects real-time food security data using mobile technology. The dataset covers Guinea and likely contains high-frequency indicators from the mVAM databank. The data is licensed under CC-BY-3.0-IGO.
The World Food Programme's mVAM project provides real-time food security data for Haiti. mVAM uses mobile technology to track food security trends, supporting humanitarian decision-making. This dataset contains various food security indicators from the mVAM databank.
World Food Programme mVAM data tracks food security trends in Iraq using mobile technology. The dataset provides high-frequency, real-time indicators from the mVAM databank, supporting humanitarian decision-making. It was last updated on 2026-05-07 and is licensed under CC-BY-3.0-IGO.
Lesotho food security data collected by the World Food Programme's mVAM project using mobile technology. The dataset provides real-time, high-frequency indicators to support humanitarian decision-making. It was last updated on May 7, 2026.
World Food Programme mVAM data provides real-time food security indicators for Liberia. The dataset likely contains high-frequency tracking data collected via mobile technology, supporting humanitarian decision-making. The data is published under a CC-BY-3.0-IGO license.
The World Food Programme's mVAM project uses mobile technology to track food security trends in real-time. This dataset contains high-frequency data from Madagascar, supporting humanitarian decision-making. It was last updated on May 7, 2026.
mVAM mobile technology tracks food security trends in real-time, providing high-frequency data for humanitarian decision-making. The World Food Programme (WFP) launched this project in 2013, beginning in DRC and Somalia. This dataset contains data from the mVAM databank covering various indicators for Malawi.
The World Food Programme's mVAM project collects high-frequency food security data using mobile technology. This dataset contains indicators from Mozambique, supporting real-time humanitarian decision-making. The data is licensed under CC-BY-3.0-IGO.
World Food Programme mVAM data tracks food security indicators in Nigeria using mobile technology. The dataset likely contains high-frequency, real-time data collected via methods tailored to the country's needs. It is sourced from the mVAM databank and was last updated in May 2026.
mVAM mobile technology tracks food security trends in real-time, providing high-frequency data for humanitarian decision-making. The World Food Programme (WFP) launched this project in 2013, beginning in DRC and Somalia. This dataset contains mVAM databank indicators for Sierra Leone.
World Food Programme mVAM data tracks food security trends in Eswatini using mobile technology. The dataset likely contains high-frequency indicators collected via tailored methods to support real-time humanitarian decision-making. It was last updated in May 2026.
mVAM mobile technology provides high-frequency food security data for humanitarian decision-making in Syria. The World Food Programme (WFP) launched this project in 2013, beginning in DRC and Somalia. This dataset contains various indicators from the mVAM databank, tailored to country-specific needs.
World Food Programme mVAM data tracks food security trends in Yemen using mobile technology. The dataset likely contains high-frequency indicators collected via tailored methods to support humanitarian decision-making. It is sourced from the mVAM databank and was last updated in May 2026.
World Food Programme mVAM data tracks food security trends in Zambia using mobile technology. The dataset likely contains high-frequency indicators collected via tailored methods to support humanitarian decision-making. It is sourced from the mVAM databank and last updated on 2026-05-07.
The World Food Programme's mVAM project uses mobile technology to collect high-frequency food security data. This dataset contains various indicators for Zimbabwe, supporting real-time humanitarian decision-making. The data is provided under a CC-BY-3.0-IGO license.
Fahad Khan's dataset contains supporting data for a study on non-O157 Escherichia coli from cattle in Bangladesh. It includes PCR screening results for 354 isolates, antimicrobial susceptibility testing for 65 isolates, and genomic analysis for 11 sequenced isolates. The dataset was last updated on 2026-05-10.
Seven herbicides, three herbicides, two insecticide groups, and several polychlorinated biphenyls were measured in rainwater samples collected during two summer field campaigns. Sampling occurred from June 16 to August 13, 1993 and May 4 to July 20, 1994 at a BOREAS site in Prince Albert National Park, Canada. The data supports research into the atmospheric transport and deposition of agricultural chemicals into boreal and arctic ecosystems.