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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).
Applied Analytics professor Siddhartha Dalal discusses the impacts of applied technologies on real-life risk management.
A Deep Learning Alternative Can Help AI Agents Gameplay the Real World A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.
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 farmingBy Arno Hanekom, Digital Strategist at DatacentrixIssued by icomm for Datacentrix HoldingsJohannesburg, 01 Jul 2025Visit our press officeSmart agriculture. (Image: Datacentrix) AI in agriculture is ...
📸 Image Captioning Project This repository contains a deep learning project for generating descriptive captions for images. It leverages a pre-trained VGG16 model for image feature extraction and an ...
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 ...
A calibration procedure for hyperspectral sensor sensitivity has been proposed, ensuring improved quality of input data and, consequently, enhanced performance of models in solving hyperspectral image ...
Agriculture is a crucial sector that plays a vital role in producing food for human consumption. However, predicting crop yield accurately can be a challenging task due to various natural factors, ...
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