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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

IoT based Smart Soil Monitoring System for Agricultural Production

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Agriculture plays the major role in economics and survival of people in India. The purpose of this project is to provide embedded based system for soil monitoring and irrigation to reduce the manual monitoring of the field and get the information via