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 ...

Five federally funded AI institutes provide a backbone for agriculture-focused AI research. The grand challenge facing global ...

Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...

Trait mapping has been indispensable for enhancing crop plants by identifying genomic regions associated with key agronomic ...

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

USDA shocked the market with the August World Agricultural Supply and Demand Estimate (WASDE), in particular the record corn yield of 188.8 bu., which was well above trade guesses and nearly 10 bu.

An odd thing happens when a farmer activates a combine system to match groundspeed to optimal grain threshing and separation: The combine generally slows down. “Combine operators often have a certain ...

From Punjab's parched fields to Tamil Nadu's flooded coasts, India's farms are reeling under rising heat, disrupted rain, and growing uncertainty. Scientists warn the next decade will decide if the ...