Researchers led by Ken Shirasu at the RIKEN Center for Sustainable Resource Science (CSRS) in Japan have identified an ...

Epigenetic silencing governs key biological processes, from flowering time in plants to preventing uncontrolled cell growth ...

Convolutional neural networks have demonstrated state-of-the-art performance in image classification and various other computer vision tasks. Plant disease detection is an important area of deep ...

Due to the broad range of plant pathogens, diagnostics can be a challenge, and visible signs of infections typically appear at a point where the infection is established. Earlier detection/diagnosis ...

Plant Leaf Disease Detection, Classification, and Diagnosis Using Computer Vision and Artificial Intelligence: A Review Abstract: Agriculture is the ultimate imperative and primary source of origin to ...

This project implements a Plant Disease Detection System using a ResNet-14 deep learning model. The goal is to classify plant diseases from leaf images with high accuracy. The system helps farmers and ...

This project focuses on detecting plant diseases and crop abnormalities using artificial intelligence (AI), drones, satellites, and other sensors. Last year, researchers from the Dutch western Dune ...

This repository contains a mobile application for plant disease detection, developed as a Final Year Project for our Computer Science Degree. The system aims to make plant disease detection more ...

Citation: Albattah W, Javed A, Nawaz M, Masood M and Albahli S (2022) Artificial Intelligence-Based Drone System for Multiclass Plant Disease Detection Using an Improved Efficient Convolutional Neural ...

In recent decades, the maturation of computer vision technology has provided more possibilities for implementing plant disease detection. Nonetheless, detecting plant diseases is typically hindered by ...