A research team has mapped how machine learning is transforming the global tea industry, revealing that data-driven technologies now enhance tea cultivation, harvesting, processing, and quality ...

Agricultural producers and manufacturers often need information about crop attributes, from nutrient content to chemical ...

Researchers at the University of Adelaide, in collaboration with German tech company Compolytics, have developed a ...

Turning materials like wood chips, crop residues and municipal solid waste into fuels and chemicals is important for our ...

In two new papers, researchers at the University of Illinois Urbana-Champaign explore the reconstruction of multispectral and ...