Researchers at The University of Osaka have developed a computer graphics (CG) model, NeuraLeaf, capable of representing a ...

Researchers at the University of Osaka have developed NeuraLeaf, a revolutionary CG model using deep learning to represent ...

1 School of Mathematics and Statistics, Fuyang Normal University, Fuyang, China 2 State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, Hainan, China The ...

Rice leaf diseases significantly impact yield and quality. Traditional diagnostic methods rely on manual inspection and empirical knowledge, making them subjective and prone to errors. This study ...

Beech leaf disease is spreading in Vermont, threatening the state's beech trees. The disease, first detected in Ohio about a decade ago, has now been confirmed in five Vermont counties, according to a ...

Research Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Aapistie 5 A, 90220 Oulu, Finland Research Unit of Disease Networks, Faculty of Biochemistry and Molecular ...

A web-based application that uses deep learning to detect plant diseases from leaf images. The system can identify 15 different plant diseases across multiple crops including Apple, Cherry, Corn, ...

📝 Abstract This project presents a web-based system for detecting plant leaf diseases using deep learning. Leveraging the EfficientNetB0 architecture and trained on the PLD_3_Classes_256 dataset, the ...

Abstract: This project aims to develop a real-time potato leaf disease detection system using MobileNetV3 Small, a lightweight and efficient deep learning model optimized for mobile and web ...

Abstract: This paper presents an automated system for detecting and classifying diseases in potato leaves using machine learning (ML) and deep learning (DL) techniques. The study focuses on three ...