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 transfer ...
Every year, plant diseases caused by bacteria, viruses, and fungi contribute to major economic losses. The prompt detection of these diseases is necessary to curb their spread and mitigate ...
Diagnosing plant disease is essential to meet the world’s growing food demand, which is expected to increase with a population of 9.1 billion by 2050. Diseases can reduce crop yields by 20-40% , so ...
Researchers from North Carolina State University have developed an electronic patch that can be applied to the leaves of plants to monitor crops for different pathogens, such as viral and fungal ...
Abingdon Health, Planet Labs PBC, Adia, Inc., BIOREBA AG, Creative Diagnostics, Drone Ag, Labellum Comunicaciones Distribuends S.L., Dorney, Ceres Imaging, FIXAR-AERO ...
The research utilized YOLOX, NanoDet, and YOLO-TGI algorithms to evaluate the accuracy of tomato disease detection and fruit counting. Various detectors were tested on a comprehensive dataset, and ...
Researchers have developed an electronic patch that can be applied to the leaves of plants to monitor crops for different pathogens -- such as viral and fungal infections -- and stresses such as ...
Dublin, Jan. 06, 2025 (GLOBE NEWSWIRE) -- The "Pathogen Or Plant Disease Detection and Monitoring Market Report 2024" has been added to ResearchAndMarkets.com's offering. The pathogen or plant disease ...