To help researchers better predict high-yielding crop traits, a team have stacked together six high-powered, machine learning algorithms that are used to interpret hyperspectral data -- and they ...

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 ...

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 Fernandes, a statistics ...

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 at Rice University and Baylor College of Medicine recently developed a new strategy for identifying ...

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 ...

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.