Agriculture is the most primary and indispensable source to furnish national income of
numerous countries including India. Diseases in plants/crops are the serious causes in …

This paper presents a survey on methods that use digital image processing techniques to
detect, quantify and classify plant diseases from digital images in the visible spectrum …

The symptoms of plant diseases are evident in different parts of a plant; however leaves are
found to be the most commonly observed part for detecting an infection. Researchers have …

Identification of diseases from the images of a plant is one of the interesting research areas
in the agriculture field, for which machine learning concepts of computer field can be …

In this paper, we address a comprehensive study on disease recognition and classification
of plant leafs using image processing methods. The traditional manual visual quality …

This paper considers the task of rice leaf disease identification using transfer-learned deep
learning models. The similarity between various symptoms and the inability to distinguish …

Over the past decades, rice crops are crucially admitted as one of the powerful energy
streams for the production of resources. Rice plant diseases are considered as a raising …

A quick and precise crop leaf disease detection is important to increasing agricultural yield
in a sustainable manner. We present a comprehensive overview of recent research in the …

Our society is getting more and more technology dependent day by day. Nevertheless,
agriculture is imperative for our survival. Rice is one of the primary food grains. It provides …

Plant diseases can cause significant reductions in both the quality and quantity of
agricultural products, and they have a disastrous impact on the safety of food production. In …