IEEE

Leaf Images Assisted Potato Plant Disease Detection Using Deep-Learning with Features Fusion

Abstract: Plant condition monitoring is one of the necessary tasks in the agriculture to confirm the yield. Recent agricultural monitoring procedures employed computerised-algorithms to automate ...
IEEE

Cotton Plant Disease Detection: A Deep Learning Approach

Abstract: Cotton plays a crucial role in the global economy and is a primary raw material for the textile sector. Despite its importance, cotton crops are prone to various diseases that can severely ...
IEEE

Hybrid CNN-Swin Framework for Detection and Classification of Potato Leaf Diseases

Abstract: Timely and accurate identification of plant diseases is essential for sustainable agricultural practices and food security. This study presents a deep learning-based diagnostic framework ...
IEEE

A Hybrid Deep Learning and Ensemble Framework for Plant Disease Detection

Abstract: Timely and accurate plant disease detection is essential to prevent crop losses and ensure food security. Traditional manual inspection methods are time-consuming and unreliable at scale.
IEEE

Hybrid Deep Learning-Based Plant Disease Detection Using MABC-CNN for Smart Farming

Abstract: Accurate early diagnosis of plant diseases must be ensured for proper agricultural output and minimizing losses economically. Hybrid optimization using deep learning is utilized by the ...
IEEE

An Autonomous Drone For Plant Disease Surveillance Using CNN Model

Abstract: Global food security is still threatened by crop diseases that cause reductions in so if n yield as well as excessive financial cost to the farmer. In practice, traditional field inspections ...
IEEE

Plant Disease Detection Based on Machine Learning Algorithms

Abstract: The presence of plant diseases creates major difficulties for agricultural production that causes significant monetary damage while threatening food availability to populations. Machine ...
IEEE

Plants Disease Classification using Deep Learning

Abstract: Early detection of plant disease is useful in reducing its rapid spread; however similar visual appearances of different plant diseases make it a challenging problem. In the proposed ...