A team of researchers led by Dr. Ittai Herrmann at The Hebrew University of Jerusalem, in collaboration with Virginia State ...

Microsoft researchers believe they have found a way to use machine learning to push those limits for small molecules (arXiv 2025, DOI: 10.48550/arXiv.2506.14665).

Agriculture contributes a significant amount to the economy of India due to the dependence on human beings for their survival. The main obstacle to food security is population expansion leading to ...

Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example, in the improvement of data mining algorithms.

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.

Summary <p>Agriculture is the mainstay of a rising economy in India. Traditionally farmers followed ancestral farming patterns and norms. However, a single farmer cannot be expected to take into ...

Field-scale crop yield prediction using multi-temporal WorldView-3 and PlanetScope satellite images and deep learning. ISPRS Journal of Photogrammetry and Remote Sensing, 174: 265-281. doi: ...

📌 Project Overview This project predicts crop yield (in kg/acre) based on key farm attributes using a machine learning model. It provides an easy-to-use web dashboard where farmers, agronomists, or ...

🌾 Crop Yield Prediction using AI/ML This project uses AI/ML and deep learning concepts to predict crop yield based on environmental, regional, and agricultural input features. It also performs ...