Rapid improvements in deep learning (DL) techniques have made it possible to detect and
recognize objects from images. DL approaches have recently entered various agricultural …

Plant disease detection has played a significant role in combating plant diseases that pose a
threat to global agriculture and food security. Detecting these diseases early can help …

Plant diseases impact extensively on agricultural production growth. It results in a price hike
on food grains and vegetables. To reduce economic loss and to predict yield loss, early …

The primary objective of this study is to develop an advanced, automated system for the
early detection and classification of leaf diseases in potato plants, which are among the most …

Potato diseases such as early and late blight are the most lethal diseases that can cause
significant damage to potato production. Detecting these diseases early and making a …

This study dives into the classification of turmeric leaf diseases to enhance the field of
agriculture and crop health management. Turmeric, a major agricultural commodity, is …

Efficient and rational monitoring of plant health is an essential prerequisite for ensuring
optimal crop production and resource management in the field of agriculture. Computer …

To solve the problems of weak generalization of potato early and late blight recognition
models in real complex scenarios, susceptibility to interference from crop varieties, colour …

Crop pests and diseases are one of the most critical disasters that limit agricultural
production. In this paper, we trained a lightweight convolutional neural network model and …

The potato plant is amongst the most significant vegetable crops farmed worldwide. The
output of potato crop production is significantly reduced by various leaf diseases, which …