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 ...

Machine learning can also be used for the analysis itself. The technology can "provide predictions, recommendations or potentially prescriptive actions" for enterprise IoT deployments, according ...

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 study sheds light on the widespread use of CPS in crop management, smart greenhouses, precision irrigation, livestock ...

Ensemble models, comprising multiple algorithms or simulations to improve prediction accuracy, are increasingly being applied ...

1. Integration with Artificial Intelligence (AI) and Machine Learning (ML): IoT-based smart crop monitoring systems can be integrated with AI and ML to enable predictive analytics and decision-making.