In this work, authors developed detection system for plant-disease using convolution neural
network (CNN) model. The developed system was trained using healthy and unhealthy …

Agriculture is a country's economic backbone. Numerous studies have shown that plant
diseases are challenging to manage because their populations vary with environmental …

The global rise in population has led to a shortage of raw materials and food supplies. The
agricultural sector has become the primary and most vital source to overcome this particular …

Plant disease is the key issue for the farmers, which leads to lesser income and minimal
outcome. Pest affected crop also results in small agricultural production of the country. The …

More than 50% of Indians are employed in agriculture. And any disruption in this sector
affects a large part of the population. Some of these disturbances are climate change …

In the area of the image classification, the most recent generation of convolution neural
networks (CNNs) produced extraordinary results. This paper explores a new approach to …

In India, agriculture provides a living for half the population. Food security is significantly
threatened by microbial infections, however due to inadequate infrastructure, it is still difficult …

There have been various studies and research done on detecting plant disease. This work is
intended to identify the plant disease using Deep Learning which can be used as a defense …

The automatic and accurate detection of diseased leaves is a challenging job for
researchers. It offers a promising step towards food security and agricultural growth. On …

Mostly development of country depends of growth of agriculture sectors. Now a day
agriculture is facing lot of challenges like unavailability of labor, drastic climate change …