Plant health is important in maintaining the sustainability of the foods crop. The key to
prevent the loss of yield of plant crops is the identification of plant diseases. The process of …

Abstract The Plant Disease is a major threat to Farmers, but faster identification remains a
difficult task due to lack of incorporating latest technologies. The classification of plant …

Agricultural production is mainly affected by natural and anthropogenic factors. Insects and
pests are some of the most threatening factors that can affect crop yield. Identification of …

Accepted: 25 May 2021 Deep learning models are playing a vital role in classification goals
that can have propitious results. In the past few years, many models are being used for this …

With the increasing computational power, areas such as machine learning, image
processing, deep learning, etc. have been extensively applied in agriculture. This chapter …

With the increasing computational power, areas such as machine learning, image
processing, deep learning, etc. have been extensively applied in agriculture. This chapter …

Plant disease identification is extremely important in agriculture since it is critical for boosting
crop output. Visual plant disease analysis is a modern technique to handle this problem …

Plants are the source of food Plants are the source of food on the planet. Infections and
diseases in plants are therefore a serious threat, while the most common diagnosis is …

For a long time, plants have shown a crucial role in our life, manufacturing and industry.
However, a large number of diseases have significantly affected to the production of plants …

Plant disease detection and classification are required to identify the early symptoms of
disease in plants and crops to avoid their mitigation to entire croplands. Deep learning is …