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Titlebook: Diseases of Field Crops: Diagnostics and Management; Vaibhav Kumar Singh,Jameel Akhtar,Krishna Pratap S Book 2024 The Editor(s) (if applic

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書目名稱Diseases of Field Crops: Diagnostics and Management
編輯Vaibhav Kumar Singh,Jameel Akhtar,Krishna Pratap S
視頻videohttp://file.papertrans.cn/285/284787/284787.mp4
概述Provides the latest evidence-based approach in plant disease diagnosis and management.Covers‘special chapters on CRISPR-Cas mediated technology, and artificial intelligence in plant disease identifica
圖書封面Titlebook: Diseases of Field Crops: Diagnostics and Management; Vaibhav Kumar Singh,Jameel Akhtar,Krishna Pratap S Book 2024 The Editor(s) (if applic
描述.This edited book is a compilation of the chapters on the recent advances made in the field of disease management in various field crops. It covers host resistance, regulatory mechanism as well as non-chemical methods and computer-based applications in disease management. Molecular marker assisted selection, proteomic approaches, CRISPR-Cas mediated technology to improve food quality and minimize negative public health impact associated with crop diseases is also discussed. Plant diseases continue to be major challenge to global crop production, especially field crops, inflicting not only crop yield losses to farmers, but also decline quality as well as nutritional value leading threat to global food security. According to FAO statistics, there is a need of 70% steady increase in agricultural production to fulfil the food requirements of 9.1 billion populations by 2050, and annual global crop losses due to pests and diseases have been estimated to be about 30%. Therefore, the book aims at bringing out a comprehensive information on field crop diseases, plant disease detection and diagnosis, monitoring, forecasting/forewarning, and management. The book is very useful for students, t
出版日期Book 2024
關(guān)鍵詞Detection and diagnosis of plant pathogens; Plant disease forecasting system; Regulatory mechanism of
版次1
doihttps://doi.org/10.1007/978-981-97-6160-9
isbn_softcover978-981-97-6162-3
isbn_ebook978-981-97-6160-9
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Implementing Artificial Intelligence in Wheat Disease Identification: A Mobile Application Approachs are vulnerable to many diseases, which can reduce yields and threaten food security. Therefore, developing accurate and efficient methods for identifying and diagnosing these diseases is essential. Traditional visual inspection methods are laborious and subjective, prompting the exploration of ima
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