Leaf disease is a common fatal disease for plants. Early diagnosis and detection is
necessary in order to improve the prognosis of leaf diseases affecting plant. For predicting …

Tea leaf diseases are a major challenge to agricultural productivity, with far-reaching
implications for yield and quality in the tea industry. The rise of machine learning has …

Abstract Vision Transformer (ViT) has recently attracted significant attention for its
performance in image classification. However, studies have yet to explore its potential in …

Invading pests and diseases always degrade the quality and quantity of plants. Early and
accurate identification of plant diseases is critical for plant health and growth. This work …

In order to maintain sustainable agriculture, it is vital to monitor plant health. Since all
species of plants are prone to characteristic diseases, it necessitates regular surveillance to …

Tomatoes are among the most extensively grown and consumed crops worldwide, but
tomato production can be greatly reduced due to various diseases. Plant diseases show …

Jamun leaf diseases pose a significant threat to agricultural productivity, negatively
impacting both yield and quality in the jamun industry. The advent of machine learning has …

Tomato leaf diseases pose a significant threat to plant growth and productivity, necessitating
the accurate identification and timely management of these issues. Existing models for …

The widespread use of IoT devices has led to the generation of a huge amount of data and
driven the need for analytical solutions in many areas of human activities, such as the field of …

The tomato holds significant global significance as a crop, fulfilling crucial roles in
agriculture and meeting essential human dietary requirements. The persistent presence of …