More information: Zhiye Yao et al, Deep learning in tropical leaf disease detection: advantages and applications, Tropical Plants (2024). DOI: 10.48130/tp-0024-0018 ...

The study states that non-destructive detection technologies (NDDTs) address these issues by identifying diseases at early ...

Scientists are using AI and genetic engineering to enhance plant immunity, offering a new defense against crop diseases.

Crop diseases not only reduce yields but also degrade soil health and disrupt ecosystems. Accurate, early detection is essential to managing these threats, but manual identification is slow, labor ...

Scientists have used artificial intelligence to upgrade plant immune systems, potentially revolutionising how agricultural ...

Akhlad Alabhar, co-founder and CEO, Egrobots© Egrobots Startup Spotlight: UAE-Based Egrobots Is Enabling Early Detection Of Crop Diseases In The MENA© Provided by Entrepreneur ...

Scientists at the University of California, Davis, used artificial intelligence to help plants recognize a wider range of ...

An innovative crop-disease detection solution designed for drones was announced as the winner of the fourth annual Jerusalem College of Technology (Machon Lev) “Great Minds Hackathon.” Efraim ...

Traditional methods of disease detection, which rely on manual labor and expert observation, are time-consuming, expensive, and often not feasible in large-scale agricultural operations.