FarmVibes.AI
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FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
Crop Yield Prediction
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Crop Yield Prediction with Deep Learning
AgML
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AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synth
Blockchain-based traceability in Agri-Food supply chain management: A practical implementation
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The recent, exponential rise in adoption of the most disparate Internet of Things (IoT) devices and technologies has reached also Agriculture and Food (Agri-Food) supply chains, drumming up substantial research and innovation interest towards develop
Land grab/data grab: precision agriculture and its new horizons
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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
Publicising Food: Big Data, Precision Agriculture, and Co-Experimental Techniques of Addition
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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