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.

This startup uses machine learning and satellite imagery to predict crop yields Artificial intelligence + nanosatellites + corn by Alex Brokaw Aug 4, 2016, 7:22 AM PDT ...

Descartes Labs has used machine learning and petabytes of satellite imagery to accurately predict crop yields and food crises.

Teen Scientists Win $1.8 Million at Virtual Regeneron Science Talent Search 2020 for Exemplary Research on Predicting Crop Yield, Machine Learning Algorithms and Reducing Emissions in Industrial G ...

So the next step beyond digitization, is the science of making sense of this very complex plant world by combining multiple technologies such as robotics, sensors, data modeling, machine learning ...

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.