Agriculture plays a significant role in the growth and development of any nation's economy.
But, the emergence of several crop-related diseases affects the productivity in the agriculture …

In India, Agriculture plays an essential role because of the rapid growth of population and
increased in demand for food. Therefore, it needs to increase in crop yield. One major effect …

The timely identification of plant diseases prevents the negative impact on crops.
Convolutional neural network, particularly deep learning is used widely in machine vision …

Crop diseases cause a substantial loss in the quantum and quality of agricultural production.
Regular monitoring may help in early stage disease detection an d thereby reduction in crop …

The timely identification and early prevention of crop diseases are essential for improving
production. In this paper, deep convolutional-neural-network (CNN) models are …

In this paper, a Convolutional Neural Network (CNN) architecture for plant leaf disease
detection using techniques of Deep Learning is proposed. A CNN model is trained with the …

Convolutional Neural Network is the base of all deep learning models. Therefore a
Convolutional Neural Network model is created and developed to perform plant disease …

Deep learning has recently attracted a lot of attention with the aim to develop a quick,
automatic and accurate system for image identification and classification. In this work, the …

Deep learning is a cutting-edge image processing method that is still relatively new but
produces reliable results. Leaf disease detection and categorization employ a variety of …

Plants are susceptive to various diseases in their growing phases. Early detection of
diseases in plants is one of the most challenging problems in agriculture. If the diseases are …