Artificial intelligence-based techniques such as machine learning is moving from being merely an exciting premise to having real-life applications, where it's needed most: improving efficiency and ...

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.

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 ...

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 ...

The Australian Grains Research and Development Corporation wants to use machine learning to aid the Australian grains industry in the future.

Fig. 3: ACS Yield Optimization uses deep learning to analyze and optimize variable, resulting in higher yields and significant cost savings. Deployment and execution This refers specifically to secure ...

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.