GitHub

Plant Disease Detection using Deep Learning

This project uses deep learning to automatically detect plant diseases from leaf images. The model leverages Convolutional Neural Networks (CNNs) and Transfer Learning (MobileNetV2) for accurate and ...
Frontiers

Multiscale CNN-state space model with feature fusion for crop disease detection from UAV imagery

Accurate detection of crop diseases from unmanned aerial vehicle (UAV) imagery is critical for precision agriculture. This task remains challenging due to the complex backgrounds, variable scales of ...
IEEE

Plant Disease Detection using Advanced Transfer Learning and Attention Module

Abstract: Plant diseases significantly threaten global food security, reducing agricultural productivity and causing economic losses for farmers. Early detection and effective disease management are ...
Forbes

How DeLorean AI Is Transforming Kidney Disease Detection With Predictive Tech

Chronic kidney disease (CKD) has long been a silent killer and the global healthcare system is hemorrhaging value in dealing with it. Far too many patients reach dialysis or transplant status without ...
News Medical

Plant-based diets could curb climate change and infectious diseases, experts say

A team of infectious disease specialists argues that shifting toward plant-based diets can simultaneously slow climate change, reduce antibiotic resistance, and lower disease risks - empowering ...
Frontiers

A novel efficient eggplant disease detection method with multi-scale learning and edge feature enhancement

1 Shandong Facility Horticulture Bioengineering Research Center, Weifang University of Science and Technology, Weifang, China 2 Department of Computer Engineering, Dongseo University, Busan, Republic ...
IEEE

Tomato Plant Disease Detection Using YOLO11

Abstract: This study focuses on the early and accurate detection of tomato plant diseases using the lightweight and efficient deep learning model YOLOv11n. Early identification of plant diseases is ...
Scientific Research Publishing

Arnal Barbedo, J.G. (2019) Plant Disease Identification from Individual Lesions and Spots Using Deep Learning. Biosystems Engineering, 180, 96-107.

ABSTRACT: Timely and accurate detection of plant diseases is essential for improving crop yields and ensuring food security, particularly in regions like Cameroon, where farmers often rely on visual ...
Scientific Research Publishing

YOLO-AgriNet: A Deep Learning-Based Model for Real-Time Plant Disease Detection in Precision Agriculture ()

1 Ambam Computer Science and Application Laboratory & Department of Computer Engineering, Higher Institute of Transport, Logistics and Commerce, University of Ebolowa, Ebolowa, Cameroon. 2 Institut ...
GitHub

plant-disease-prediction

This project aims to develop a method for detecting plant diseases using CNNs by analyzing leaf images.The CNNs are proficient in handling large datasets and can dynamically learn new features from ...