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 …

Plants are a big part of the ecosystem. Plants are also used by humans for various purposes.
Cotton is one of these important plants and is very critical for humans. Cotton production is …

By providing food to billions of people, agriculture contributes significantly to the global
economy. Plant ailments, however, can reduce crop yields and result in financial losses. An …

Verticillium wilt (VW) is a common soilborne disease of cotton. It occurs mainly in the
seedling and boll-opening stages and severely impairs the yield and quality of the fiber …

Deep convolutional neural networks (DCNN) have shown promising performance in plant
disease recognition. However, these networks cannot be deployed on resource-limited …

Agriculture is important for the economy of any country, and India is considered to be an
agricultural country. One of the primary goals of agriculture is to produce disease-free crops …

For the last decade, the use of deep learning techniques in plant leaf disease recognition
has seen a lot of success. Pretrained models and the networks trained from scratch have …

Farmers in rural areas with limitation of internet connectivity can be made possible for early
plant diseases detection by using optimization of mobile devices which implemented an …

It is an essential and challenging task to accurately identify unknown plants from images
without professional knowledge due to the large intra-class variance and small inter-class …

Every country's economy is mostly dependent on agro-based products, and India is
regarded as having a strong cotton agriculture sector. Cotton plants that have been infected …