Woli, P., Long, C.R., Smith, G.R. and Rou-quette, Jr., F.M. (2025) Predicting the Drought-Induced Yield Loss of Cotton in the ...

Machine learning is an integral part of high stakes decision making in a broad swath of human-computer interactions. You apply for a job. You submit a loan application. Algorithms determine who ...

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

In this study, the effects of dynamic climate and biophysical parameters and static soil parameters obtained from earth observation satellites on cotton yield estimation were examined with four ...

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

DFKI has developed a system that makes agriculture more predictable, reduces risks and optimises the use of resources. With the help of satellite data and machine learning, the platform analyses ...

But amid all the hype, the real story that has emerged doesn’t focus on the technology itself but on the people using it ... logic to it through machine learning, and ultimately helping the farmer to ...

Agriculture is the backbone of our country, which provides the livelihood for the majority of the population. In order to deal with current issues such as water shortages, supply that outpaces demand, ...