In recent times use of different technologies for intelligent crop production is growing. To
increase the production of crops, diagnosing a plant disease is very important. Plant …

Rice is an essential food crop that is cultivated in many countries. Rice leaf diseases can
cause significant damage to crop cultivation, leading to reduced yields and economic …

With the development of the new generation of information technology, artificial intelligence,
cloud computing and big data are gradually becoming powerful engines of the smart grid. In …

Laodelphax striatellus (small brown planthopper, SBPH) is a pest feeding mainly on rice,
wheat and corn. Meanwhile, SBPH transmits plant viruses during feeding, which may take …

Pesticides play a significant role in increasing agricultural yields. However, the overuse of
chemical pesticides on crops is a major challenge faced by China, which damages human …

This research aims to identify rice diseases, namely Leaf blast, Brown spot, Healthy and
Hispa. The purpose of this research is to utilize deep convolutional neural network (DCNN) …

High-throughput image-based technologies are now widely used in the rapidly develo**
field of digital phenomics and are generating ever-increasing amounts and diversity of data …

One of the most prominent research topics in agriculture relies on the accurate detection of
plant diseases for the early prevention of productivity loss. However, most of the strategies …

Rice crop contains a wide variety of diseases that can affect the entire yield. These infections
include but are not limited to fungal blast (Magnaporthe grisea), sheath rot, sheath blight …

Diabetic Retinopathy (DR) has become a major cause of blindness in recent years. Diabetic
patients should be screened on a regular basis for early detection, which can help them …