Artificial Intelligence and Internet of Things for Smart Agriculture
暫譯: 智慧農業的人工智慧與物聯網
Shukla, Praveen Kumar, Sanghvi, Harshal A., Agarwal, Ankur
商品描述
The purpose of this book is to explore the fundamentals and implementation strategies of smart agriculture through the integration of artificial intelligence and Internet of Things technologies. It examines critical aspects of planning and decision-making while providing recommendations for implementing efficient and effective intelligent agriculture solutions. Readers will gain valuable insights into how these smart technologies enhance productivity, sustainability, and precision in contemporary technology-driven farming systems.
This book:
- Discusses artificial intelligence-based 3D mapping of soil, smart weeding systems, and crop visualization in smart agriculture.
- Covers data analytics-based decision-making, improving crop quality based on precise prediction, minimizing the use of pesticides for better soil quality, and precision farming systems.
- Examines problems like weather forecasting, crop prediction, calculation of pesticide quantity, irrigation requirement, and prediction of the right time for seeding.
- Highlights the role and importance of data visualization techniques in smart agriculture implementation.
- Presents the internet of things and artificial intelligence-based solutions for smart agriculture.
It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics, and communications engineering, computer science and engineering, and agricultural science and engineering.
商品描述(中文翻譯)
本書的目的是透過整合人工智慧和物聯網技術，探討智慧農業的基本原則和實施策略。它檢視規劃和決策的關鍵方面，同時提供實施高效且有效的智慧農業解決方案的建議。讀者將獲得有關這些智慧技術如何提升當代科技驅動農業系統的生產力、可持續性和精確性的寶貴見解。
本書：
- 討論基於人工智慧的土壤三維地圖、智慧除草系統和作物可視化在智慧農業中的應用。
- 涵蓋基於數據分析的決策制定、根據精確預測改善作物品質、最小化農藥使用以提升土壤品質，以及精準農業系統。
- 檢視如天氣預報、作物預測、農藥用量計算、灌溉需求及播種最佳時機預測等問題。
- 強調數據可視化技術在智慧農業實施中的角色和重要性。
- 提出基於物聯網和人工智慧的智慧農業解決方案。
本書主要為電機工程、電子與通訊工程、計算機科學與工程，以及農業科學與工程領域的高年級本科生、研究生和學術研究人員所撰寫。
作者簡介
Dr. Praveen Kumar Shukla is currently serving as a Professor and Dean at the School of Engineering, Babu Banarasi Das University, Lucknow, UP, India. He is also an Adjunct Faculty at the SAU Centre for Research and Innovative Learning (SCRIL), South Asian University, New Delhi. Dr. Shukla is also the executive committee member and Secretary of IEEE CIS UP Chapter. Dr. Shukla holds a Ph.D. in Computer Science & Engineering from Dr. A.P.J. Abdul Kalam Technical University, Lucknow. He also holds M.Tech in Computer Science & Engineering and B.Tech. in Information Technology. His research area includes Fuzzy Systems (Interval Type-2 Fuzzy Systems and Type-2 Fuzzy Systems), Machine Learning, Computer Vision and Deep Learning. He has published more than 60 Papers in reputed International Conferences and International Journals. He has been honored as keynote speaker and session chair at national/international conferences, faculty development programs and workshops.
Dr. Harshal A. Sanghvi is a Visiting Instructor and Director of Healthcare Analytics at the College of Business, Florida Atlantic University. Dr. Sanghvi has a Ph.D. in Computer Engineering from Florida Atlantic University. He has been teaching and training professionals in areas of Artificial Intelligence and Machine Learning, Immersive Learning, Data Mining, Business Analytics, Social Media, and Web Analytics. His research is focused on Engineering, Applied Sciences, Healthcare Analytics, Computer Vision, Clinical Decision Support Systems, Data Analytics, Neural Networks, Medical Imaging, the Internet of Things (IoT), and Artificial Intelligence. He has a blend of industrial and academic experience, which allows him to teach and train professionals with industrial use-cases.
Dr. Ankur Agarwal is a Professor at Florida Atlantic University, USA. He has over 15 years of Academic, Administrative and Industry Experience. He has more than 80 publications in peer reviewed national and international journals, conferences, and book chapters. He has several national and international patents. He has been awarded grants by the National Science Foundation and National Institute of Health and has served as a PI and Co-PI in several projects.
Dr. Abhijit S. Pandya is a Professor at Florida Atlantic University, USA and also a Director of Clinical Trials and Research at Specialty Retina Center, FL, USA. He has over 33 years of Academic, Administrative and Industry Experience. He has more than 100 publications in peer reviewed national and international journals, conferences, and book chapters. He has several national and international patents. He has been awarded grants by the National Science Foundation and National Institute of Health and has served as a PI and Co-PI in several projects.
作者簡介(中文翻譯)
普拉維恩·庫馬爾·舒克拉博士目前擔任印度烏塔爾邦勒克瑙的巴布·巴納拉西·達斯大學工程學院教授及院長。他同時也是南亞大學新德里的SAU研究與創新學習中心（SCRIL）的兼任教員。舒克拉博士是IEEE CIS UP分會的執行委員會成員及秘書。舒克拉博士擁有勒克瑙的阿卜杜勒·卡拉姆技術大學計算機科學與工程博士學位，並擁有計算機科學與工程的碩士學位（M.Tech）及資訊科技的學士學位（B.Tech）。他的研究領域包括模糊系統（區間型2模糊系統和型2模糊系統）、機器學習、計算機視覺和深度學習。他在國際會議和國際期刊上發表了超過60篇論文，並在國內外會議、教職員發展計劃和工作坊中擔任主題演講者和會議主席。
哈爾沙爾·A·桑吉維博士是佛羅里達大西洋大學商學院的訪問講師及醫療分析主任。桑吉維博士擁有佛羅里達大西洋大學的計算機工程博士學位。他在人工智慧和機器學習、沉浸式學習、數據挖掘、商業分析、社交媒體和網絡分析等領域教授和培訓專業人士。他的研究專注於工程、應用科學、醫療分析、計算機視覺、臨床決策支持系統、數據分析、神經網絡、醫學影像、物聯網（IoT）和人工智慧。他擁有工業和學術的經驗，使他能夠教授和培訓具有工業應用案例的專業人士。
安庫爾·阿加瓦爾博士是美國佛羅里達大西洋大學的教授。他擁有超過15年的學術、行政和行業經驗。他在同行評審的國內外期刊、會議和書籍章節上發表了超過80篇論文，並擁有多項國內外專利。他曾獲得國家科學基金會和國家衛生研究院的資助，並在多個項目中擔任首席研究員（PI）和共同首席研究員（Co-PI）。
阿比吉特·S·潘迪亞博士是美國佛羅里達大西洋大學的教授，同時也是佛羅里達州專科視網膜中心的臨床試驗和研究主任。他擁有超過33年的學術、行政和行業經驗。他在同行評審的國內外期刊、會議和書籍章節上發表了超過100篇論文，並擁有多項國內外專利。他曾獲得國家科學基金會和國家衛生研究院的資助，並在多個項目中擔任首席研究員（PI）和共同首席研究員（Co-PI）。
