Dr. Muhammad Waqar Akram and his team from the Department of Farm Machinery and Power at University of Agriculture Faisalabad ...

Purdue researchers use AI to decode cities, monitor cattle health, and boost crop yields for a sustainable future.

By combining artificial intelligence and sensors that can see beyond visible light, Arkansas researchers have developed a ...

Evogene Ltd. has unveiled a first-in-class generative AI foundation model for small-molecule design, marking a breakthrough ...

By examining essential factors like soil composition, pH level, humidity, and rainfall using ... crop suggestions to farmers. Accurate crop prediction is essential for optimizing farming practices and ...

The study emphasizes that one of the most significant contributions of AI to plant science lies in rapid, image-based disease detection. Deep learning models, particularly convolutional neural ...

Acquiring accuracy in crop forecasts is essential for increasing agricultural productivity. It is the precise point in the crop forecast process that machine learning plays a ... under the category of ...

There is a pressing need for reliable, interpretable prediction models ... key predictors were identified using the Boruta algorithm. Six machine learning models were developed; the Extreme Gradient ...