| 書目名稱 | Trends in Plant Disease Assessment | | 編輯 | Imran Ul Haq,Siddra Ijaz | | 視頻video | http://file.papertrans.cn/931/930094/930094.mp4 | | 概述 | Provides information regarding the modern and emerging technologies in Phytopathometery, precision, and accuracy.Explores applied plant pathology via predictive models, disease warning systems, and de | | 圖書封面 |  | | 描述 | This edited book provides the readers with the concepts and in-depth knowledge of plant disease assessment and conventional and modern technologies that aid in precise and accurate phytomathometery. This book discusses the evolution of plant disease assessment procedures from the primary visual estimation-based assessment to modern approaches, their practical application for reliable disease quantification, yield loss estimation, and the efficacy of disease control strategies for sustainable crop protection. Significant information is provided on the major aspects of the topic, including remote sensing, imaging techniques, molecular phytopathometery, microarray, and immunotechnology. The book helps plant scientists, plant pathologists, practitioners, researchers, and students in disease quantification, developing predictive models for plant disease epidemics, assessing crop losses, and the magnitude of plant disease control methods..This book describes the classical plant disease assessment methods based on visual observations. It Provides information regarding the modern and emerging technologies in Phytopathometery, precision, and accuracy. This book also discusses the applicatio | | 出版日期 | Book 2022 | | 關(guān)鍵詞 | Optical sensor; Phytopathometry; Image segmentation; Nano-inspired biosensors; Electrochemical biosenso | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-19-5896-0 | | isbn_softcover | 978-981-19-5898-4 | | isbn_ebook | 978-981-19-5896-0 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
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