Farmers typically lack the knowledge of diagnosis and control of different apple diseases.
However, some apple diseases have visual symptoms and can be diagnosed by eyes, but …

Plant diseases are one of the primary causes of decreased agricultural production quality
and quantity. With ongoing changes in plant structure and cultivation techniques, new …

Effective identification of apple leaf diseases can reduce pesticide spraying and improve
apple fruit yield, which is significant to agriculture. However, the existing apple leaf disease …

The accurate detection and identification of plant diseases is an essential step in the
development of intelligent and modernized agricultural production. This study proposes a …

This study's foremost objectives were to scrutinize how unexpected weather affects
agricultural output and to assess how well AI-based machine learning and deep leaning …

Plant diseases can significantly reduce crop yield and product quality. Visual inspections of
plants by human observers for disease identification are time-consuming, costly, and prone …

Accurate identification of soybean leaf disease is of utmost importance for its cultivation and
fine management, as it is a critical factor contributing to the decreased quality and yield of …

Agriculture plays the vigorous role in economy as well as it is contemplated to be the
mainstay of economic system in emerging countries. Furthermore, it influences the society in …

This review explores the use of machine learning (ML) techniques for detecting pests and
diseases in crops, which is a significant challenge in agriculture, leading to substantial yield …

Plant diseases are common factors restricting crop yield and quality. For individuals without
training, it is still difficult to identify various diseases accurately because many leaf diseases …