To accurately recognize plant diseases under complex natural conditions, an improved plant
disease-recognition model based on the original YOLOv5 network model was established …

Unmanned aerial vehicles (UAV), often unmanned aerial systems, are increasingly used in
many industries, such as agriculture, forestry, the military, and disaster management. This is …

BACKGROUND Tomato is one of the most important vegetables in the world. Timely and
accurate identification of tomato disease is a critical way to ensure the quality and yield of …

The kidney bean is an important cash crop whose growth and yield are severely affected by
brown spot disease. Traditional target detection models cannot effectively screen out key …

Most of the plant diseases severely affect the plant leaves and thus can be identified from
infected leaf images using modern computer vision techniques. During the last decade …

Tomato yield is significantly affected by diseases, which are a continuous challenge for its
production and pose threats to its global supply chain. Automatic and early detection of …

An innovative framework for peach tree disease recognition and segmentation is proposed
in this paper, with the aim of significantly enhancing model performance in complex …

Plants are the primary source of food for the whole population. The disease in plants leads
to low crop production and reduces food quality. Early detection of the plant disease can …

The automatic detection of diseases in tomato leaves significantly contributes to tomato
production and enables farmers to manage these issues more effectively. Tomatoes are a …

In order to solve the identification problem of apple disease detection, a method based on
light network structure MobileNetV2 was designed to detect apple leaf pathology, which was …