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Titlebook: Computational Intelligence in Internet of Agricultural Things; M. G. Sumithra,Malathy Sathyamoorthy,Mariya Ouaiss Book 2024 The Editor(s)

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發(fā)表于 2025-3-21 19:52:34 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Computational Intelligence in Internet of Agricultural Things
編輯M. G. Sumithra,Malathy Sathyamoorthy,Mariya Ouaiss
視頻videohttp://file.papertrans.cn/243/242251/242251.mp4
概述Covers key technologies and techniques such as AI, ML, and IOT in the development of smart agriculture.Focuses on the integration of IoT and AI techniques to generate a greater data-driven solution fo
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Computational Intelligence in Internet of Agricultural Things;  M. G. Sumithra,Malathy Sathyamoorthy,Mariya Ouaiss Book 2024 The Editor(s)
描述.This book focuses on the integration of IoT and AI techniques to generate greater data-driven solutions for the agriculture industry. It also focuses on computational intelligence (CI), machine learning, and AI techniques along with current applications, obstacles, and potential challenges and solutions for agricultural industries. These technologies have the potential to curtail resource wastage and contribute to addressing the challenges of feeding the expanding global population. This book acts as a resource to augment the reader‘s comprehension of the role of emerging IT technologies in the agricultural sector. This book also covers key technologies and techniques such as AI, ML, and IoT in the development of smart agriculture and provides information on various types of smart farming technology, platforms, and machine learning algorithms with case studies based on real-time problems..
出版日期Book 2024
關(guān)鍵詞Computational Intelligence; IoT; Agriculture; Machine Learning; AI techniques; Big data analytics; Edge co
版次1
doihttps://doi.org/10.1007/978-3-031-67450-1
isbn_softcover978-3-031-67452-5
isbn_ebook978-3-031-67450-1Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Role of Big Data Analytics in Intelligent Agriculture,e on contemporary agriculture in the context of the Internet of Agricultural Things (IoAT). The narrative examines the key elements that enable intelligent farming by breaking down the characteristics of data volume, velocity, variety, veracity, and value: predictive insights for crop yields, prescr
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Machine Learning-Based Remote Monitoring and Predictive Analytics System for Apple Harvest Storage:s by statistical modeling is an important requirement for automation of post harvest cooling operations of fruits. Air velocity of the four fans installed in the evaporator system was controlled using an electronic Variable Frequency Drive (VFD). Four different air flow rates, viz., 10.8, 8.1, 5.4 a
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An Analytical Approach and Concept Mapping of Agricultural Issues Using Deep Learning Techniques,rce wastage by leveraging advanced technologies like remote sensing, Geographic Information Systems (GIS), and the Internet of Things (IoT). However, the growing threat of weeds continues to pose a significant challenge of unwanted consumption of nutrient resources by weeds therefore affecting the o
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Barriers to Implementing Computational Intelligence-Based Agriculture System,lture (CIA), considering its growing significance as the globe aims for zero hunger by 2030 per the United Nations. By conducting a comprehensive analysis of various scholarly sources, we have classified the obstacles encountered by stakeholders in the agriculture sector into different categories. T
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