Cotton is one of the leading fibers and plays a dominant role in the global industrial and
agricultural economy. It is a primary material for the textile industry production. Various …

This paper presents a novel Deep Learning (DL) framework for cotton plant disease
prediction based on Explainable Artificial Intelligence (XAI) and Copula entropy based-Grey …

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 …

Cotton is an important commodity because of its use in various industries across the globe. It
is grown in many countries and is imported/exported as a cash crop due to its large utility …

During the past few decades, cotton leaf diseases have become a significant challenge for
farmers, leading to substantial losses in harvests, productivity, and financial resources …

Cotton is one of Bangladesh's most valuable agricultural plant. Plant diseases are primarily
caused by pest insects and pathogens, and if not handled promptly, they reduce productivity …

In the summary of the research, the findings as well as the metrics of the disease
classification model that was constructed for cauliflower leaves are summarized. The model …

In agriculture, accurate and timely detection of plant diseases is crucial for minimizing crop
losses and ensuring food security. Traditional methods of plant disease detection often rely …

Cotton is India's most important crop, and maintaining the plants is crucial. Verticillium wilt,
Alternaria spot, Cercosporin leaf spot, bacterial leaf blight, and red spot, are all diseases that …

Every nation's development depends on its agriculture." Cash crops" are important crops like
cotton and others. Most pathogens that cause substantial crop damage also affect cotton …