IEEE

Hyperparameter Optimization of CNN Models for Plant Leaf Disease Classification Using Optuna

Abstract: Leaf diseases are a major challenge for agricultural productivity, requiring accurate and efficient detection methods. This research presents an effective method for multi-class ...
IEEE

Optimized ResNet-50 Deep Learning Model for Highly Accurate Plant Disease Classification and Detection Efficiency

Abstract: This research aims to develop a resilient and expert deep learning system to identify and classify plant diseases using ResNet (Residual Neural Networks). Such innovations will help overcome ...
IEEE

Bell Pepper Plant Disease Detection using Deep Learning Models

Abstract: Early identification of diseases in bell pepper plants at the appropriate time creates two benefits: improving crop output and reducing economic losses for agriculture. This research ...
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

Plantech – Android-based Mobile Application for Plant Disease Detection (PDD) using EfficientNet-B3

Abstract: Nowadays, technological evolution is foreseen in the agricultural field but it is not as rapid as industrial evolution. Plant disease remains a crucial issue affecting food security, plant ...
IEEE

Rice plants diseases detection and classification using deep learning models

Abstract: There has been a 37% yearly decrease in rice yields as a result of rice plant diseases. It might happen mostly as a result of not knowing how to identify and treat diseases that affect rice ...
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

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

A Novel Hybrid PSO-Inception CNN Approach for High-Accuracy Plant Disease Detection

Abstract: The problem of accruing plant diseases creates a major issue which effects the quality of the crop and leads to less production. The Convolutional Neural Network has been widely used in the ...