A new machine-learning model for predicting crop yield ... is titled "Using machine learning to combine genetic and environmental data for maize grain yield predictions across multi-environment ...

Read now That's where machine learning comes in. It's still a fairly nascent technology, but some companies are using machine learning to boost the value of their IoT initiatives. For starters ...

IoT-enabled ... insects, use of specialized fertilizers, insecticides by crop, planting cycles and irrigation cycles all affect yield is a perfect problem for machine learning.

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 ...

IoT-based smart ... sensors is then analyzed using machine learning and other data analytics techniques to provide insights into crop health, growth rates, and yield potential.