Article

An improved DSCCA-UNet for apple leaf disease severity estimation and prescription map generation

2025-08-07

Abstract excerpt

<title>Abstract</title> <p>This paper investigates the problems of disease severity estimation and prescription map generation. By introducing dynamic snake convolution (DSC), a DSCC multi-scale feature extraction module is designed to build a new UNet architecture. The combination of DSCC module with VGG16 backbone can enhance the receptive field for segmented edge feature information which can achieve more deta...

Topics

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

Identifiers and source

Literature Corpus work: 9fa452d5-8953-58ba-a70e-93d184149505
DOI: 10.21203/rs.3.rs-6911991/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

An improved DSCCA-UNet for apple leaf disease severity estimation and prescription map generationDOI 10.21203/rs.3.rs-6911991/v1Read

MDGL-DETR: An Efficient Method for Detecting Apple Leaf Diseases by Integrating Global and Local FeaturesSemantic proximity Read

RS-Net: robust segmentation of green overlapped applesSemantic proximity Read

A new machine learning mango damage segmentation dataset and application modelsSemantic proximity Read

Hybrid Explainable DeiT-Based Framework for Plant Disease Classification and Severity EstimationSemantic proximity Read

Estimation of tea leaf blight severity in natural scene imagesSemantic proximity Read

AMS-MLP: Adaptive Multi-Scale MLP Network with Multi-Scale Context Relation Decoder for Pepper Leaf SegmentationSemantic proximity Read

Towards Intelligent Disease Phenotyping in Peach: A Deep Feature Extraction Framework for Leaf Disease Detection Under Real Field ConditionsSemantic proximity Read

An Efficient Depthwise Multiscale Feature Learning Convolutional Network for Plant Leaf Disease Classification in AgricultureSemantic proximity Read

Early diagnosis of Sugarcane leaf diseases through CNN and Vision Transformer hybrid modelSemantic proximity Read

Automatic Detection, Quantification and Classification Method for Plant Foliar Diseases Based on Deep LearningSemantic proximity Read

Deep learning architectures for semantic segmentation and automatic estimation of severity of foliar symptoms caused by diseases or pestsSemantic proximity Read

LeafGenEx-A Novel Method for Generating Healthy and Diseased Wheat Leaf Images using CycleGANSemantic proximity Read