Agriculture 5.0: Artificial Intelligence, Iot and Machine Learning
暫譯: 農業 5.0:人工智慧、物聯網與機器學習
Ahmad, Latief, Nabi, Firasath
- 出版商: CRC
- 出版日期: 2021-03-25
- 售價: $7,460
- 貴賓價: 9.5 折 $7,087
- 語言: 英文
- 頁數: 242
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 0367646080
- ISBN-13: 9780367646080
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相關分類:
人工智慧、Machine Learning、物聯網 IoT
海外代購書籍(需單獨結帳)
商品描述
Agriculture 5.0: Artificial Intelligence, IoT & Machine Learning provides an interdisciplinary, integrative overview of latest development in the domain of smart farming. It shows how the traditional farming practices are being enhanced and modified by automation and introduction of modern scalable technological solutions that cut down on risks, enhance sustainability, and deliver predictive decisions to the grower, in order to make agriculture more productive. An elaborative approach has been used to highlight the applicability and adoption of key technologies and techniques such WSN, IoT, AI and ML in agronomic activities ranging from collection of information, analysing and drawing meaningful insights from the information which is more accurate, timely and reliable.It synthesizes interdisciplinary theory, concepts, definitions, models and findings involved in complex global sustainability problem-solving, making it an essential guide and reference. It includes real-world examples and applications making the book accessible to a broader interdisciplinary readership.
This book clarifies hoe the birth of smart and intelligent agriculture is being nurtured and driven by the deployment of tiny sensors or AI/ML enabled UAV's or low powered Internet of Things setups for the sensing, monitoring, collection, processing and storing of the information over the cloud platforms. This book is ideal for researchers, academics, post-graduate students and practitioners of agricultural universities, who want to embrace new agricultural technologies for Determination of site-specific crop requirements, future farming strategies related to controlling of chemical sprays, yield, price assessments with the help of AI/ML driven intelligent decision support systems and use of agri-robots for sowing and harvesting. The book will be covering and exploring the applications and some case studies of each technology, that have heavily made impact as grand successes. The main aim of the book is to give the readers immense insights into the impact and scope of WSN, IoT, AI and ML in the growth of intelligent digital farming and Agriculture revolution 5.0.The book also focuses on feasibility of precision farming and the problems faced during adoption of precision farming techniques, its potential in India and various policy measures taken all over the world. The reader can find a description of different decision support tools like crop simulation models, their types, and application in PA.
Features:
- Detailed description of the latest tools and technologies available for the Agriculture 5.0.
- Elaborative information for different type of hardware, platforms and machine learning techniques for use in smart farming.
- Elucidates various types of predictive modeling techniques available for intelligent and accurate agricultural decision making from real time collected information for site specific precision farming.
- Information about different type of regulations and policies made by all over the world for the motivation farmers and innovators to invest and adopt the AI and ML enabled tools and farming systems for sustainable production.
商品描述(中文翻譯)
《農業 5.0:人工智慧、物聯網與機器學習》提供了智能農業領域最新發展的跨學科綜合概述。它展示了傳統農業實踐如何透過自動化和現代可擴展技術解決方案的引入而得到增強和改進,這些解決方案降低了風險、增強了可持續性,並為農民提供預測性決策,以提高農業生產力。本書採用詳盡的方法來強調關鍵技術和技術的適用性和採用情況,如無線傳感網絡(WSN)、物聯網(IoT)、人工智慧(AI)和機器學習(ML),這些技術在農業活動中從信息收集、分析到從信息中提取更準確、及時和可靠的有意義見解的過程中發揮了重要作用。本書綜合了涉及複雜全球可持續性問題解決的跨學科理論、概念、定義、模型和研究結果,使其成為一本必備的指南和參考資料。書中包含了現實世界的例子和應用,使本書對更廣泛的跨學科讀者群體更具可讀性。
本書闡明了智能農業的誕生是如何受到微型傳感器或啟用AI/ML的無人機(UAV)或低功耗物聯網設置的推動,這些技術用於在雲平台上感知、監控、收集、處理和存儲信息。本書非常適合研究人員、學者、研究生以及農業大學的從業者,他們希望採用新的農業技術來確定特定地點的作物需求、與化學噴灑控制、產量、價格評估相關的未來農業策略,並利用AI/ML驅動的智能決策支持系統和農業機器人進行播種和收穫。本書將涵蓋和探討每項技術的應用及一些成功的案例研究。本書的主要目的是讓讀者深入了解無線傳感網絡(WSN)、物聯網(IoT)、人工智慧(AI)和機器學習(ML)在智能數位農業和農業革命 5.0 成長中的影響和範疇。本書還專注於精準農業的可行性以及在採用精準農業技術過程中面臨的問題、其在印度的潛力以及全球各地採取的各種政策措施。讀者可以找到不同決策支持工具的描述,如作物模擬模型、其類型及在精準農業中的應用。
特點:
- 詳細描述農業 5.0 可用的最新工具和技術。
- 提供有關智能農業中不同類型硬體、平台和機器學習技術的詳細信息。
- 闡明可用於智能和準確農業決策的各種預測建模技術,這些技術基於實時收集的信息,適用於特定地點的精準農業。
- 提供有關全球各地制定的不同類型法規和政策的信息,以激勵農民和創新者投資和採用AI和ML驅動的工具和農業系統,以實現可持續生產。
作者簡介
Dr. Latief Ahmad is working as Scientist at Dryland Agricultural Research Station, Rangreth- Sher-e-Kashmir University of Agricultural Sciences and Technology, Shalimar Kashmir J&K India. He obtained his bachelor's degree in Agriculture from Faculty of Agricultural Sciences, CCS-SDS College, Aligarh and Master's and Doctoral Degree in Agronomy from School of Agriculture, Allahabad Agricultural Institute, Naini Allahabad U.P India. The author has published more than 85 research articles in peer-reviewed international and national journals He has authored 2 books, 8 book chapters and 19 extension bulletins. He has attended more than 35 national and international conferences/Training programmes and is a life member of five scientific associations. He has received best research proposal award by SERB-DST. His areas of interest include Agrometeorology, Climate Change studies, Crop simulation modeling, Precision Farming, Water management and Crop Science.
Dr Firasath Nabi is a young researcher who has completed her PhD in Computer Sciences from Baba Ghulam Shah Badshah University, Rajouri J&K India. She has published several research papers in peer-reviewed international journals and conference proceedings. She holds expertise in developing and framing innovative solutions for the farmers with the help of computer-aided tools and techniques especially the use of sensor networks and machine learning for disease detection and monitoring of Fruit Crops. She is an evaluation member for the Innovation Cell of MHRD, India and recipient of national awards from many organizations. Her research interests are Wireless Sensor Network, Machine Learning, Artificial Intelligence and their applicability in Precision Farming.
作者簡介(中文翻譯)
拉提夫·艾哈邁德博士目前在印度查謨和克什米爾的舍爾-艾-克什米爾農業科學與技術大學乾旱農業研究站擔任科學家。他在阿利格爾的CCS-SDS學院農業科學系獲得農業學士學位,並在阿拉哈巴德農業學院的農業學校獲得農藝學碩士和博士學位。該作者在國際和國內的同行評審期刊上發表了超過85篇研究文章,並著有2本書、8章書籍和19份擴展公報。他參加了超過35個國內和國際會議/培訓計劃,並是五個科學協會的終身會員。他獲得了SERB-DST頒發的最佳研究提案獎。他的研究興趣包括農業氣象學、氣候變遷研究、作物模擬建模、精準農業、水資源管理和作物科學。
費拉薩特·納比博士是一位年輕的研究者,已在印度查謨和克什米爾的巴巴·古拉姆·沙阿·巴德沙大學獲得計算機科學博士學位。她在同行評審的國際期刊和會議論文集中發表了多篇研究論文。她專注於利用計算機輔助工具和技術為農民開發和制定創新解決方案,特別是使用傳感器網絡和機器學習進行果樹病害檢測和監測。她是印度人力資源發展部創新小組的評估成員,並獲得多個組織的國家獎項。她的研究興趣包括無線傳感器網絡、機器學習、人工智慧及其在精準農業中的應用。