A research team led by Professor Takuya Yamamoto and Assistant Professor Ryusaku Matsumoto (Department of Life Science ...

One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

A research team used flowering data from 169 rice genotypes—each with over 700,000 SNP markers—across multiple environments ...

A research team has introduced DepthCropSeg, a powerful, depth-informed crop segmentation approach that achieves near-supervised performance without the need for pixel-level manual annotations.

While traditional landslide prediction methods often rely solely on rainfall intensity, the new approach integrates various water-related processes with a machine-learning model.

We are entering a time where machines are no longer limited to fixed commands. They are beginning to sense, learn, and ...

Overview: AI enables real-time data analysis from satellites for faster decision-making.Machine learning enables the ...

🌾 Crop Price Prediction Using Machine Learning This project aims to predict the prices of various crops for a given year using machine learning algorithms, based on historical price data. The ...

Wheat’s root microbes help reduce fertilizer use, cutting costs, boosting yields, and lowering climate harm without new ...

PUR-1 has started serving as the nation’s first reactor test bed to help the industry figure out how digital communication, ...