In this fast-growing overpopulated world, people are facing food insecurity problem. To feed
an enormous amount of people agriculture is straining natural resources. Rice is the main …

Rice, a nutritious grain belonging to the Orza family, is a staple food for more than three
billion people worldwide. Early detection of rice leaf disease is critical for maintaining …

Rice is one of the essential foods for most of the world's population, and its cultivation is
done in large areas of Pakistan. It satisfies the food demand and also plays a vital role in the …

The purpose of this work is to use the artificial intelligence features of the ResNet50
architecture to provide a novel method of paddy disease identification. Farmers face …

The integration of machine learning and deep learning algorithms such as K-means, SVM,
ResNet, and VGGNet signifies a significant advancement in agricultural development …

In the task of agricultural imperfect grain detection, there are several challenges, including
time-consuming manual classification, inconsistent annotating standards among annotators …

The study examines deep neural network models for the binary classification of rice plants,
with a specific emphasis on distinguishing between healthy and ill states. The utilization of …

The significant task of image processing in the domain of plant disease is to detect the
diseases in plants as the data utilized for input is complex in nature. If the diseases are not …