Developments in the area of ‘precision agriculture’ are creating new data points (about flows, soils, pests, climate) that agricultural technology providers ‘grab’, aggregate, compute and/or sell. Food producers now churn out food and, increa

This article draws upon data taken from the following: 18 interviews of Iowa farmers who utilise big data when making farm management decisions; 14 interviews of those engaged within big data industry, those involved in the sale and promotion of larg

Increasing evidence of climate change worldwide is becoming the reason to understand a lot more about the weather - everything from what's going to happen tomorrow to what's coming next year. To forecast weather we need to analyze a large set of data

This ontology is the socio-economic ontology developed by CGIAR and partners. Socio-economic ontology team gratefully acknowledges the Platform for big data in agriculture (https://bigdata.cgiar.org) and CGIAR Research program on Policies, Instiution

Crowdsourced data from Kenyan, Ugandan, Rwandan, and Tanzanian SME traders and farmers to support your research, solutions, and more.

Test