I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

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).

In precision agriculture, crop recommendation systems play a crucial role in enhancing crop productivity. This research paper proposes a machine learning-based crop recommendation system that ...

Headquartered a few blocks from Times Square in Manhattan, NYC Data Science Academy also offers a fully remote data science/machine learning bootcamp that takes part-time students 24 weeks and ...

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.

The AI-based automated system is a crying need for the farmers for this problem. This study proposes a smart crop recommendation model using Machine Learning (ML) and Explainable AI to help farmers ...

Climate-Smart Agriculture (CSA) aims to enhance the productivity, resilience, and sustainability of farming systems in the face of climate variability and ...

The Section maintains and operates several global isotope data networks for hydrology and climate studies, including the IAEA Global Network of Isotopes in Precipitation and the Global Network of ...

This repository contains pre-trained machine learning models for crop recommendation based on soil and environmental parameters. The models help predict the best crop to grow based on nitrogen, ...