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 …

Currently, applying machine learning technologies for management and monitoring of
agricultural products are gaining significant interests. One of them is for plant diseases …

To help farmers and rural people of Bangladesh, many research works are proposed in the
recent years to recognize the papaya diseases that takes a great deal of advantage in …

The purpose of this study was to examine the potential of Machine Vision (MV) approaches
for the classification and identification of 12 varieties of guava. There are leaf images of the …

Every year many of farmers had to face a huge amount of loss due to the papaya disease.
From the last several years, thousands of researchers pay attention to the papaya disease …

Purpose: Many research efforts have been offered in recent years to assist farmers in
recognizing papaya infections, which has a significant advantage in the machine learning …

When original aerial photographs are combined with deep learning to classify forest
vegetation cover, these photographs are often hindered by the interlaced composition of …

This paper proposes a leaf identification system using convolutional neural network (CNN).
This proposed system can identify five types of local Malaysia leaf which were acacia …

Crop diseases are a major cause of reduced productivity in India, with farmers often
struggling to identify and control them. Consequently, the development of advanced …

Fallen leaf disease can lead to a decrease in leaf area, a decrease in photosynthetic
products, insufficient accumulation of fruit sugar, poor coloring and flavor, and a large …