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[2] A spatiotemporal CNN-LSTM deep learning model for predicting soil temperature in diverse large-scale regional climates. The Science of The Total Environment (2025).
A team of researchers led by Dr. Ittai Herrmann at The Hebrew University of Jerusalem, in collaboration with Virginia State ...
US researchers are developing an AI-powered microscope system that could make soil health testing faster, cheaper, and more ...
In the face of climate change, apple breeding programs need innovative ways to select cultivars that can thrive under diverse ...
AI-Powered Soil, Crop, and Climate Analytics: Advances and Applications in Climate-Smart Agriculture
Climate-Smart Agriculture (CSA) aims to enhance the productivity, resilience, and sustainability of farming systems in the face of climate variability and ...
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ITWeb on MSNFrom tractor tweets to crop status updates: How AI is cultivating the future of farmingHow AI is cultivating the future of farmingBy Arno Hanekom, Digital Strategist at DatacentrixIssued by icomm for Datacentrix HoldingsJohannesburg, 01 Jul 2025Visit our press officeSmart agriculture.
However, current approaches to evaluate LNM and OS have limited accuracy. In this study, we used longitudinal CT images from 1,021 patients with locally advanced gastric cancer to develop and validate ...
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