Cereals are an important and major source of the human diet. They constitute more than two-
thirds of the world's food source and cover more than 56% of the world's cultivatable land …

Background The occurrence of diseases in rice leaves presents a substantial challenge to
farmers on a global scale, hence jeopardizing the food security of an expanding global …

Recent development in deep learning techniques have had a massive impact in the field of
agricultural disease detection. The negative impact of pest and bacterial diseases to rice …

Early diagnosis of the disease in crop opens the door to potential care and treatment, which
in turn improves the yield. Automated detection of rice plant disease from plant images is an …

Bangladesh is heavily reliant on rice production, but a staggering annual decline of 37% in
rice output due to insufficient knowledge in recognizing and managing rice plant diseases …

In most paddy plant diseases, the leaf is the primary source of information for image-based
disease identification and classification. Image segmentation is an important step in the …

The key source of information for disease diagnosis and classification in paddy diseases is
the leaves. Applying hybrid techniques, such as image processing-pattern recognition (IP …

Plant diseases pose a significant threat to agriculture, leading to yield and quality losses.
Traditional manual methods for disease identification are time-consuming and often yield …

Rice is a staple meal that helps people worldwide access sufficient food. However, this crop
has several illnesses, significantly lowering its production and quality. Because of this, it is …

The purpose of this study was to enhance the ability to predict agricultural pests. In this
section, we will outline the materials and methods used in the study. In the realm of …