Accurate and rapid plant disease detection is critical for enhancing long-term agricultural
yield. Disease infection poses the most significant challenge in crop production, potentially …

One of the essential components of human civilization is agriculture. It helps the economy in
addition to supplying food. Plant leaves or crops are vulnerable to different diseases during …

This review paper addresses the critical need for advanced rice disease detection methods
by integrating artificial intelligence, specifically convolutional neural networks (CNNs). Rice …

Detecting and counting on road vehicles is a key task in intelligent transport management
and surveillance systems. The applicability lies both in urban and highway traffic monitoring …

Rice (Oryza sativa L.) is a vital food source all over the world, contributing 15% of the protein
and 21% of the energy intake per person in Asia, where most rice is produced and …

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 leaf diseases can reflect the current health status of the crop, and the rapid and
automatic detection of field diseases has become one of the difficulties in the process of …

A significant majority of the population in India makes their living through agriculture.
Different illnesses that develop due to changing weather patterns and are caused by …

Potato blight, sometimes referred to as late blight, is a deadly disease that affects
Solanaceae plants, including potato. The oomycete Phytophthora infestans is causal agent …

Rice is one of the most important crops worldwide. Diseases of the rice plant can drastically
reduce crop yield and even lead to complete loss of production. Early diagnosis can reduce …