A nation's economic progress is significantly influenced by its percentage of crop yields.
However, the major barrier to the quantity and quality of yield is crop disease. For quick and …

In order to realize the acquisition of plant leaf images by agricultural drones and perform
regional segmentation and disease recognition on leaf cluster images over a wide area, this …

Plants are widely grown around the world and have high economic benefits. plant leaf
diseases not only negatively affect the healthy growth and development of plants, but also …

Accurate detection and classification of tomato diseases are essential for effective disease
management and maintaining agricultural productivity. This paper presents a novel …

The hairiness of the leaves is an essential morphological feature within the genus Vitis that
can serve as a physical barrier. A high leaf hair density present on the abaxial surface of the …

Accurate detection of early diseased plants is of great significance for high quality and high
yield of crops, as well as cultivation management. Aiming at the low accuracy of the …

This paper developed a radish disease detection system based on a hybrid attention
mechanism, significantly enhancing the precision and real-time performance in identifying …

Fruit tree leaf diseases affect both fruit survival rate and orchard revenue. Rapid and
accurate classification of tree leaf diseases not only prevents the spread of diseases but also …

This paper focuses on detecting Alzheimer's Disease (AD). The most usual form of dementia
is Alzheimer's disease, which causes permanent cause memory cell damage. Alzheimer's …

Tomato disease classification based on images of leaves has received wide attention
recently. As one of the best tomato disease classification methods, the convolutional neural …