Crop disease detection is important due to its significant impact on agricultural productivity
and global food security. Traditional disease detection methods often rely on labour …

Timely and accurate detection of diseases in vegetables is crucial for effective management
and mitigation strategies before they take a harmful turn. In recent years, convolutional …

Plant diseases are increasingly becoming a serious threat to food security as well as
sustainable agriculture sets. Traditional methods for detecting crop diseases, especially in …

Artificial intelligence has significantly advanced the automation of diagnostic processes,
benefiting various fields including agriculture. This study introduces an AI-based system for …

Many sciences exploit algorithms in a large variety of applications. In agronomy, large
amounts of agricultural data are handled by adopting procedures for optimization, clustering …

Effective classification of leaf diseases is crucial in modern agriculture by adapting a
systematic approach to identify, monitor, and manage diseases affecting plant leaves …

This paper examines how superintending is pivotal for plant health in the modern world. One
serious cause of low collect yield is an infection brought about by microorganisms, infection …

Early and accurate diagnosis of plant diseases in agriculture is crucial to increase
productivity, reduce the use of chemicals, save costs and obtain high quality products …

Early identification of plant leaf Disease is critical for maintaining agricultural output and food
security. Farmers may reduce crop loss and preserve high yields by precisely recognizing …

Plant diseases and unpredictable yields are two issues that jasmine flower production must
deal with, necessitating cutting-edge solutions for effective crop management. It provides a …