Nature

Soil microbiome prediction using traditional machine learning and deep learning models

Microbiomes are communities of microorganisms sharing the same environment. This environment can be any ecosystem, including the human body, soil, oceans, or plants. Microbial communities usually ...
Nature

Wheat yield prediction using integrated optical and radar remote sensing with machine learning across key phenological stages

Wheat (Triticum aestivum L.) is a cornerstone of global food security, serving as a vital staple crop for billions of people around the world. Agriculture consumes over 70% of global freshwater ...
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Heat wave predictions months in advance with machine learning

The study "Seasonal forecasting of European heat waves using a feature selection framework," published in Communications Earth & Environment, demonstrates how machine learning (ML) and artificial ...
EurekAlert!

Heatwave predictions months in advance with machine learning: A new study delivers improved accuracy and efficiency

Enhanced prediction capability: Machine learning-based system matches and in some cases outperforms traditional forecasting systems, with particular improvements in northern Europe where conventional ...
Phys.org

Machine-learning application makes advanced chemical predictions easier and faster, no deep programming skills required

One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as its boiling or melting point. Once researchers can pinpoint that prediction, ...
iaea.org

New IAEA Research Project Uses Machine Learning to Better Predict Polymer Changes under Radiation

Azillah Binti Othman, IAEA Department of Nuclear Sciences and Applications Ayhan Evrensel, IAEA Department of Nuclear Sciences and Applications The IAEA is inviting research organizations to join a ...