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.

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.

"But instead of not using nanotechnology altogether, we would like farmers to reap the many benefits provided by this technology but avoid the potential food safety concerns." Reference: Wang X, Liu L ...

Learn how to build, collect, and analyze real-time data using a low-cost data acquisition device trainer and a machine learning model. This first article in a two-part hands-on tutorial will show you ...

Computer scientists define machine learning as a form of artificial intelligence that enables computers to use historical data and statistical methods to make predictions and decisions without ...

We developed statistical and machine learning models to predict premature death from the presence of 17 chronic conditions and the patients’ age at diagnosis. We evaluated models using accuracy, ...

Machine Learning Now Helps Sort Seeds and Predict Crop Needs This new AI revolution uses things such as soil, climate and genetic data to anticipate outcomes and turn that information into ...

A novel genotype-by-environmental interaction machine-learning model can predict crop yield with environmental data and genetic information more efficiently and accurately than an established model.