As the dairy industry increasingly adopts automation with the use of sensors and robotics, researchers at Texas A&M AgriLife ...

Using machine learning and math, a BYU student improved a key tool firefighters rely on during wildfire season ...

Priya Ranjan works at the intersection of computational biology and bioinformatics, focusing on plant-microbe interactions, ...

At the upcoming Visual Studio Live!@ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will lead the session "Predicting the Future using Azure Machine Learning," ...

Machine learning (ML) ... which projects genetic distance data into computationally manageable lower-dimensional ... Modelling and prediction of dry matter yield of perennial ryegrass cultivars sown ...

Machine Learning Interpretation of Optical Spectroscopy Using Peak-Sensitive Logistic Regression. ACS Nano , 2025; 19 (16): 15457 DOI: 10.1021/acsnano.4c16037 Cite This Page : ...

Researchers at Northwestern Engineering have developed a scientific machine learning framework that predicts and inversely designs the mechanical behavior of spinodal metamaterials – specially ...

Because of this, the researchers say they could use a similar method for future research in this area, but explore different factors, including dietary supplements use, using more machine learning ...

Note: This table indicated the favorable weather indicator for different growth stages of Potato. A2) Favorable Weather Condition responsible for Potato: LB Temperature 16˚C - 20˚C. Cold and humid ...