IEEE

CNN-Based Plant Disease Classification: An Image Analysis Approach

Abstract: The agriculture industry faces significant challenges in maintaining sustainable plant growth while combating diseases that threaten crops. Traditional disease prevention methods rely on ...
IEEE

Remote Sensing Scene Image Classification with Swin Transformer-Based Transfer Learning

Abstract: In remote sensing classification problems, high visual similarity between scenes reduces the classification performance of traditional methods. Therefore, advanced deep neural network models ...
IEEE

Fine-Grained Image Classification via Lightweight Multi-Scale Feature Fusion and Guided Attention

Abstract: Fine-grained image classification remains a challenging task due to subtle inter-class differences and significant intra-class similarity. To address these challenges, we propose a novel ...
IEEE

Faster R-CNN and U-Net Based Image Recognition to Classify Rice Plants Health

Abstract: Indonesia, as the fourth-largest rice-producing country in the world, faces challenges in agricultural efficiency due to the limited adoption of digital technologies. This study focuses on ...
IEEE

A Multi-Scale Attention Architecture by Fusing Graph Convolutional Network and CNN for Hyperspectral Image Classification

Abstract: Hyperspectral image (HSI) classification has been advanced by convolutional and graph convolutional networks (CNNs and GCNs). While CNNs excel at extracting local features, GCNs capture ...
IEEE

CNN-Based Deep Learning Framework for Multi-Class Rice Leaf Disease Detection and Classification

Abstract: Being a major contributor to rice production worldwide, rice leaf diseases need to be detected early and correctly to achieve maximum output and reduce losses. Processes based on deep ...
IEEE

AI-Powered Intelligent Crop Health Monitoring System using CNN-based Image Classification

Abstract: Plant and leaf diseases have a significant impact on agricultural production, leading to a decrease in crop yield and quality. Effective crop management demands early and precise detection ...
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

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

Comparative Evaluation of CNN, LSTM, and Hybrid CNN-LSTM for Spatial-Spectral Classification of Hyperspectral Images

Hyperspectral imaging (HSI) is a next generation remote sensing technology which collects images in the hundreds of narrow, contiguous spectral bands [1]. Contrary to typical RGB or multispectral ...