The platform organizes these outcomes into three operational subsystems: disease detection, maturity assessment, and quality evaluation. By automating model selection and presenting results through ...

Researchers at the GTRI) are developing a micro gas chromatograph (GC) for early detection of diseases in crops. “It’s estimated that each year U.S. farmers lose 12 percent of their crops to pests and ...

Researchers have made significant progress in the field of artificial intelligence by applying deep learning techniques to automate the detection and classification of crop leaf diseases. The ...

Presenting onstage today in the 2018 TC Disrupt Berlin Battlefield is Indian agtech startup Imago AI, which is applying AI to help feed the world’s growing population by increasing crop yields and ...

This article is part of an ongoing series covering startups that have been a part of the Mohammed Bin Rashid Innovation Fund (MBRIF) accelerator program. As the UAE and wider parts of the MENA region ...

Revolutionizing smart farming, a groundbreaking innovation in agricultural automation has emerged from the Department of Mechanical Engineering at IIT Kharagpur. Under the visionary leadership of Prof ...