Article

ST-CFI: Swin Transformer with Convolutional Feature Interactions for Identifying Plant Diseases

2024-11-26

Abstract excerpt

<title>Abstract</title> <p><bold>Background:</bold> The increasing global population, coupled with the diminishing availability of arable land, has rendered the challenge of ensuring food security more pronounced. The prompt and precise identification of plant diseases is essential for reducing crop losses and improving agricultural yield. In this paper, we introduce the Swin Transformer with Convolutional Featur...

Topics

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

Identifiers and source

Literature Corpus work: 65759524-db53-5521-a5f8-532f4ef1e29b
DOI: 10.21203/rs.3.rs-5350597/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

ST-CFI: Swin Transformer with Convolutional Feature Interactions for Identifying Plant DiseasesDOI 10.21203/rs.3.rs-5350597/v1Read

Next-Generation Plant Disease Detection: A Efficient Approach to Plant Disease Identification with HW-CNNs and Wasserstein MetricsSemantic proximity Read

Deep Learning in Precision Phytopathology: A Comprehensive Survey of CNN Architectures for Disease Detection and Severity QuantificationSemantic proximity Read

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

Plant Leaf Disease Detection Using Deep Learning: A Multi-Dataset ApproachSemantic proximity Read

New perspectives on plant disease characterization based on deep learningSemantic proximity Read

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

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

Deep Learning for Tomato Disease Detection and Severity Assessment: A Systematic Analytical Review of Methods, Datasets, and ChallengesSemantic proximity Read

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

A lightweight convolutional and vision transformer hybrid network for parameter efficient plant disease classificationSemantic proximity Read

Deep Learning for Early Disease Detection: A CNN Approach to Classify Potato, Tomato, and Pepper Leaf DiseasesSemantic proximity Read

Deep Learning-Based Crop Disease Recognition System for Smart AgricultureSemantic proximity Read