专题:Plant Disease Management Techniques

This cluster of papers explores the advances in vegetable grafting techniques, including the use of grafting to improve tolerance to abiotic stresses, manage soilborne pathogens, enhance fruit quality, and promote disease resistance. It also delves into the mechanisms of rootstock-scion interactions, hormonal signaling, and genetic exchange in grafted plants. Additionally, the cluster discusses alternative strategies for soil disinfestation and the impact of grafting on plant responses to various environmental stressors.
最新文献
Explainable and lightweight deep learning models for tea leaf disease detection: A systematic review and future research directions

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Молекулярно-генетические методы, применяемые для детекции карантинных объектов. Инновации, вызовы и перспективы

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A Deep Learning Approach for Detecting Pesticide Residues on Brinjal

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Solar-powered Groundnut Decorticator: Design, Performance and Emission Reductions for Sustainable Agriculture

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SD-MSL-YOLO: A lightweight model for vegetable pot seedling detection and missing seedling localization

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CBAM Integrated Attention Driven Model For Betel Leaf Diseases Classification With Explainable AI

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Seed-Inspired Sandwich-Structured Nanofibers Enable Intelligent Delivery of Prothioconazole

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An Effective Approach for Recognition of Crop Diseases Using Advanced Image Processing and YOLO v8

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Comprehensive Performance Analysis of UAV Agricultural Sprayer Under Variable Conditions: A Step Towards Crop Health and Precision Spraying in Next-Generation Agriculture

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A quantization training based deep learning for plant disease detections, severity and yield-loss prediction in sustainable agriculture

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近5年高被引文献
Using Machine Learning to Identify Diseases and Perform Sorting in Apple Fruit

article Full Text OpenAlex 963 FWCI698.1309

A survey on using deep learning techniques for plant disease diagnosis and recommendations for development of appropriate tools

article Full Text OpenAlex 335 FWCI63.0147

A fast accurate fine-grain object detection model based on YOLOv4 deep neural network

article Full Text OpenAlex 312 FWCI61.9662

A Novel Deep Learning Model for Detection of Severity Level of the Disease in Citrus Fruits

article Full Text OpenAlex 299 FWCI59.6539

Soil Acidification caused by excessive application of nitrogen fertilizer aggravates soil-borne diseases: Evidence from literature review and field trials

article Full Text OpenAlex 298 FWCI52.7254

A novel framework for potato leaf disease detection using an efficient deep learning model

article Full Text OpenAlex 286 FWCI54.6143

A deep learning based approach for automated plant disease classification using vision transformer

article Full Text OpenAlex 261 FWCI48.5213

Intelligent robots for fruit harvesting: recent developments and future challenges

article Full Text OpenAlex 261 FWCI50.319

Plant Disease Identification Using a Novel Convolutional Neural Network

article Full Text OpenAlex 251 FWCI49.7816

End-to-End Deep Learning Model for Corn Leaf Disease Classification

article Full Text OpenAlex 240 FWCI45.5806