AI, machine learning (ML), and the IoT sensors that provide real-time data for algorithms increase agricultural efficiencies, improve crop yields, and reduce food production costs ...

A team of researchers has turned the keen eye of AI toward agriculture, using deep learning algorithms to help detect crop disease before it spreads. Skip to main content Menu ...

This tool is more than just an academic model, it is a ready-to-deploy decision support system that integrates backend predictive analytics with frontend usability. By offering real-time insights, it ...

Instead, Descartes relies on 4 petabytes of satellite imaging data and a machine learning algorithm to figure out how healthy the corn crop is from space. Corn yield prediction is big business in ...

The developed system is equipped with artificial intelligence and machine learning (AI/ML) technology and the objective is to predict the onset of diseases based on multiple parameters,” said ...

FAYETTEVILLE, Ark. — A new machine-learning model for predicting crop yield using environmental data and genetic information can be used to develop new, higher-performing crop varieties. Igor ...