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
Clay-based azoxystrobin formulation enhances cotton protection against charcoal rot disease

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

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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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A Large-Scale In-the-wild Dataset for Plant Disease Segmentation

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Optimizing Adventitious Shoot Regeneration in Peach Cultivar and Hybrid Rootstock Genotypes by LED Light Spectrum Modulation

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Medicinal Plants Used in Iranian Traditional Medicine for Enhancing Children's Heart Health: A Brief Review

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Intelligent management of crop diseases and pests in multiscale and multimodal complex scenarios: Technologies, applications, and prospects

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Analysis of genetic loci associated with resistance to bacteria fruit blotch in melon (Cucumis melo L.)

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An IoT-Driven Machine Learning Framework for Predictive Crop Health Monitoring in Precision 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 320 FWCI62.6601

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

article Full Text OpenAlex 305 FWCI62.0413

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

article Full Text OpenAlex 295 FWCI59.7279

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

article Full Text OpenAlex 280 FWCI52.998

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

article Full Text OpenAlex 275 FWCI54.0598

Intelligent robots for fruit harvesting: recent developments and future challenges

article Full Text OpenAlex 252 FWCI50.2735

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

article Full Text OpenAlex 248 FWCI47.9419

Plant Disease Identification Using a Novel Convolutional Neural Network

article Full Text OpenAlex 245 FWCI49.6425

Automatic Bunch Detection in White Grape Varieties Using YOLOv3, YOLOv4, and YOLOv5 Deep Learning Algorithms

article Full Text OpenAlex 230 FWCI47.3196