In plant disease detection, the Faster R-CNN model initialized with weights from PDDD and ImageNet showed improved detection accuracy and generalization capacity.

DNA extraction is the first step in identifying plant diseases, and the new method holds promise for the development of on-site plant disease detection tools.

Plant diseases don't stop at a nation's borders and miles of oceans don't prevent their spread, either. That's why plant disease surveillance, improved plant disease detection systems and ...

The detection and identification of plant diseases is crucial for an appropriate and targeted application of plant protection measures in crop production. Recently, intensive research has been ...

The SVM illustrated an ability to discriminate between different VOC patterns and hence was able to classify correctly the infected leaves using the EN data. The results indicate that the array of 13 ...

These results highlight our method’s potential to be a reliable, fast, affordable and easily deployable strategy for digital plant disease detection.

New tools needed to prevent plant disease pandemics Plant disease surveillance, detection can preserve food security Date: May 21, 2021 Source: North Carolina State University Summary: Plant ...