Relevance of Advanced Plant Disease Detection Techniques in Disease and Pest Management for Ensuring Food Security and Their Implication: A Review

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American Journal of Plant Sciences

ISSN Print: 2158-2742
ISSN Online: 2158-2750
www.scirp.org/journal/ajps
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"Relevance of Advanced Plant Disease Detection Techniques in Disease and Pest Management for Ensuring Food Security and Their Implication: A Review"
written by Matthew Abu John, Ibukunoluwa Bankole, Oluwatayo Ajayi-Moses, Tofunmi Ijila, Timilehin Jeje, Patil Lalit,
published by American Journal of Plant Sciences, Vol.14 No.11, 2023

has been cited by the following article(s):

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[3]	Sustainable Management of Major Fungal Phytopathogens in Sorghum (Sorghum bicolor L.) for Food Security: A Comprehensive Review
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[5]	Optical imaging combined with artificial intelligence in plant disease detection: a comprehensive review
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[6]	Biotechnological Revolution in Agrifood Systems: Multidisciplinary Approaches for the Diagnosis, Management, and Epidemiology of Plant Diseases
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[12]	Corn crop disease detection method based on deep learning
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[13]	YOLO-Driven Lightweight Mobile Real-Time Pest Detection and Web-Based Monitoring for Sustainable Agriculture
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[14]	Applications of Raman Microscopy/Spectroscopy-Based Techniques to Plant Disease Diagnosis
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[15]	Isothermal Detection Methods for Fungal Pathogens in Closed Environment Agriculture
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[16]	Advancing agriculture with functional NM:“pathways to sustainable and smart farming technologies”
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[17]	GLNet: global-local feature network for wheat leaf disease image classification
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[19]	Machine Learning and Deep Learning for Crop Disease Diagnosis: Performance Analysis and Review
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[20]	Insights into the effects of elevated atmospheric carbon dioxide on plant-virus interactions: A literature review
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[21]	Intelligent Pesticide Recommendation System for Cocoa Plant Using Computer Vision and Deep Learning Techniques
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[22]	Multiplex PCR methods for simultaneous detection of tomato brown rugose fruit virus, tomato spotted wilt virus and pepino mosaic virus
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[23]	Phytoremediation Strategies for Heavy Metal Contamination: A Review on Sustainable Approach for Environmental Restoration
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[24]	Identification of Growing Media Favorable for the Growth of Pythium aphanidermatum, a Telluric Pathogen of Papaya (Carica papaya L.) in Côte d'Ivoire
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[1]	Revealing hidden viruses inducing similar yellowing symptoms or remaining asymptomatic in cucurbit crops Plant Pathology, 2025 DOI:10.1111/ppa.14016

[2]	Assessment of Peacock Spot Disease (Fusicladium oleagineum) in Olive Orchards Through Agronomic Approaches and UAV-Based Multispectral Imaging Horticulturae, 2025 DOI:10.3390/horticulturae11010046

[3]	A Novel Few-Shot Learning Framework Based on Diffusion Models for High-Accuracy Sunflower Disease Detection and Classification Plants, 2025 DOI:10.3390/plants14030339

[4]	Optical imaging combined with artificial intelligence in plant disease detection: a comprehensive review Spectroscopy Letters, 2025 DOI:10.1080/00387010.2025.2459246

[5]	Isothermal Detection Methods for Fungal Pathogens in Closed Environment Agriculture Journal of Fungi, 2024 DOI:10.3390/jof10120851

[6]	Advancing agriculture with functional NM: “pathways to sustainable and smart farming technologies” Discover Nano, 2024 DOI:10.1186/s11671-024-04144-z

[7]	GLNet: global-local feature network for wheat leaf disease image classification Frontiers in Plant Science, 2024 DOI:10.3389/fpls.2024.1471705

[8]	Machine Learning and Deep Learning for Crop Disease Diagnosis: Performance Analysis and Review Agronomy, 2024 DOI:10.3390/agronomy14123001

[9]	Insights into the effects of elevated atmospheric carbon dioxide on plant-virus interactions: A literature review Environmental and Experimental Botany, 2024 DOI:10.1016/j.envexpbot.2024.105737

[10]	Insights into the effects of elevated atmospheric carbon dioxide on plant-virus interactions: A literature review Environmental and Experimental Botany, 2024 DOI:10.1016/j.envexpbot.2024.105737

[11]	Intelligent pesticide recommendation system for cocoa plant using computer vision and deep learning techniques Environmental Research Communications, 2024 DOI:10.1088/2515-7620/ad58ae

[12]	Multiplex PCR methods for simultaneous detection of tomato brown rugose fruit virus, tomato spotted wilt virus and pepino mosaic virus Journal of Phytopathology, 2024 DOI:10.1111/jph.13327

[13]	Applications of Raman Microscopy/Spectroscopy-Based Techniques to Plant Disease Diagnosis Applied Sciences, 2024 DOI:10.3390/app14135926

[14]	Formononetin derivatives containing benzyl piperidine: A brand new, highly efficient inhibitor targeting Xanthomonas spp Journal of Advanced Research, 2024 DOI:10.1016/j.jare.2024.08.039

[15]	Advancements in disposable electrochemical systems for sustainable agriculture monitoring: Trends, gaps, and applied examples TrAC Trends in Analytical Chemistry, 2024 DOI:10.1016/j.trac.2024.117968

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