A research team now proposes a novel Multi-Granularity Alignment (MGA) domain adaptation framework that dramatically improves cross-domain detection accuracy, enabling deep learning models to maintain ...

FloraShield: The future of crop protectionReimagining food security through innovation.Issued by UJ BlockchainJohannesburg, 23 Jul 2025Visit our press officeAccording to the World Bank, food security ...

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 study sheds light on the widespread use of CPS in crop management, smart greenhouses, precision irrigation, livestock ...

Tech Buzz: FarmBot from IIT Kharagpur detects crop diseases and sprays pesticides precisely. It reduces health risks and boosts smart farming efficiency using advanced tech.

The world needs a global system to detect and halt the spread of emerging crop diseases. ScienceDaily . Retrieved May 22, 2025 from www.sciencedaily.com / releases / 2019 / 06 / 190627143115.htm ...

Hard at work during the fourth annual Jerusalem College of Technology (Machon Lev) “Great Minds Hackathon,” December 2019. An innovative crop-disease detection solution designed for drones was ...

Using artificial intelligence, scientists created an easy-to-use tool to detect banana diseases and pests. With an average 90 percent success rate in detecting a pest or a disease, the tool can ...

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