How do plant hormones facilitate plant survival in extreme environments?

Which plant hormones are critical in responding to drought conditions? How do plant hormone responses adjust to environmental ...
IEEE

Advancements in Plant Disease Detection: A Comparative Study of Deep Learning-Based Classification Models

Abstract: Agriculture is essential to global food security, especially in nations like Bangladesh where it significantly affects people's economies and incomes. However, bacterial, viral, and fungal ...
Frontiers

Early Detection and Severity Classification of Verticillium Wilt in Cotton Stems Using Raman Spectroscopy and Machine Learning

The final, formatted version of the article will be published soon. The early detection of Verticillium wilt (VW) in cotton is a critical challenge in agricultural disease management. Cotton, a vital ...
Frontiers

A multi-scale detection model for tomato leaf diseases with small target detection head

In tomato cultivation, various diseases significantly impact tomato quality and yield. The substantial scale differences among diseased leaf targets pose precise detection and identification ...
C&EN

Synergistic Methylene Blue-Driven FAPI Uptake Mechanism Advancing the Detection of Myocardial Fibrosis in Hypertensive Heart Disease

Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China ...
C&EN

Electrochemical Biosensors Combined with Nanomaterial Signal Amplification for the Detection of Alzheimer’s Disease Biomarkers in Blood

Department of Pharmacy, The People’s Hospital of Guangxi Zhuang Autonomous Region & Guangxi Academy of Medical Sciences, Nanning, Guangxi 530021, China School of Marine Sciences and Biotechnology, ...
IEEE

Plant Disease Detection Using Deep Learning and Machine Learning Algorithms

Abstract: Understanding the economic sector of India's agricultural productivity relies heavily on the ability to identify diseases in plants. Although numerous diseases pose a significant threat to ...
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 ...