While artificial intelligence-based plant disease detection is a powerful tool in smart agriculture, it does not allow for personalized diagnosis. A new swarm intelligence algorithm for feature ...

The application uses Convolutional Neural Network (CNN) to identify disease symptoms from images of leaves, and is small ...

Recent advances in deep learning have transformed plant pathology by enabling rapid, accurate detection and classification of plant diseases. Convolutional neural networks (CNNs), enhanced by ...

Dublin, Jan. 09, 2024 (GLOBE NEWSWIRE) -- The "Pathogen or Plant Disease Detection and Monitoring Market - A Global and Regional Analysis: Focus on Application, Product, and Region - Analysis and ...

Plant Disease Early Detection via Use of Multifunctional Patch. April 14, 2023. Researchers from North Carolina State University have developed an electronic patch that can be applied to the ...

Key trends expected during this period include the development of portable detection devices, the implementation of drones, advancements in remote sensing technology, the development of ...

Plant disease accounts for 20 percent to 40 percent of crop loss annually, Jiang says. “If we can solve that, I think we see the way” to meeting the 2050 target.