Article

Rice Disease Recognition Based on Improved Residual Network

2025-02-21

Abstract excerpt

The diagnosis of rice leaf diseases is of great significance to agricultural production and crop yield. With the rapid development of deep learning technology, deep learning has become an effective tool to solve crop disease diagnosis. In this paper, we propose a multi-scale convolutional neural network that combines improved CBAM attention mechanism with deep separable convolution to effectively diagnose common r...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 1ba00573-61ed-5934-b7f2-5d7e1aea9afa
DOI: 10.20944/preprints202502.1657.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Rice Disease Recognition Based on Improved Residual NetworkDOI 10.20944/preprints202502.1657.v1Read

Prediction of Diseases in Paddy Crop Using Machine Learning and Deep LearningSemantic proximity Read

Fine classification of rice diseases under field conditions based on improved ConvNeXt networkSemantic proximity Read

Explainable and Robust Rice Leaf Disease Classification Across Heterogeneous Datasets Using Class Harmonization and ConvNeXtSemantic proximity Read

ADAM-DETR: An Intelligent Rice Disease Detection Method Based on Adaptive Multi-scale Feature FusionSemantic proximity Read

Efficient Attention-Based Hybrid Deep Learning Architecture for Multi-Crop Plant Disease RecognitionSemantic proximity Read

Early Multi-Class Disease Detection in Chili Plant Leaves Using Convolutional Neural Networks: A Comparative StudySemantic proximity Read

Wheat Leaf Disease classification using modified ResNet50 Convolutional Neural Network modelSemantic proximity Read

Advanced EfficientNetB3 based CNN for Multi-Class Plant Leaf Disease DetectionSemantic proximity Read

PR-CNN: A Multiscale Attention Relation Network for Accurate Bean Leaf Disease Image RecognitionSemantic proximity Read

LSANNet: A lightweight convolutional neural network for maize leaf disease identificationSemantic proximity Read

An Efficient Dynamic Deep Learning Methodology for Identification of Plant Disease and it’s classificationSemantic proximity Read

A Novel Method for Predicting Plant Leaf Disease Based on Machine Learning and Deep Learning TechniquesSemantic proximity Read