Accurate crop yield prediction is an indispensable part ... In this paper, a deep learning architecture is utilized to estimate crop yield in field images. The plant images are captured every half an ...

Predicting the extent of Arctic sea ice in September has significant implications for climate change and shipping in the ...

The 2025 hurricane season officially begins on June 1, and it's forecast to be more active than ever, with potentially ...

Accurate climate prediction, particularly precipitation forecasting, remains a cornerstone for agriculture, water resource management, and disaster ...

A new study shows how using drones with advanced cameras, ones that detect both heat and light, can help scientists better ...

Kaizen rethinks cell segmentation by mimicking brain predictions. Using an iterative machine-learning approach to refine boundaries in crowded microscopy images, it enhances accuracy in tissue studies ...

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 significant ... under the ...

Indian researchers created a deep learning system that identifies and classifies cotton diseases with 97% accuracy. This automated method helps farmers quickly address issues, boosting yields and ...