Smart Farm Management Systems: Integrating Iot with Big Data Analytics
暫譯: 智慧農場管理系統：整合物聯網與大數據分析
Kathole, Atul B., Vhatkar, Kapil Netaji, Kimbahune, Vinod V.
- 出版商: Apple Academic Press
- 出版日期: 2026-10-06
- 售價: $6,240
- 貴賓價: 9.5 折 $5,928
- 語言: 英文
- 頁數: 278
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1779647271
- ISBN-13: 9781779647276
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相關分類:
大數據 Big-data
尚未上市，無法訂購
商品描述
The rapid evolution of digital technology has transformed agriculture from a reliance on intuition and tradition to a data-driven, precise, and sustainable sector, often referred to as Agriculture 4.0. By early 2026, the integration of AI, IoT, and robotics has become foundational rather than a "nice-to-have" for optimizing productivity, reducing waste, and mitigating environmental impact. The farms of today are not only led in conventional ways but are becoming empowered in terms of smart systems, data-driven information, and interconnected devices.
This new volume, Smart Farm Management Systems: Integrating IoT with Big Data Analytics, provides a clear understanding of how the new technologies can transform agricultural operations, increase the farm productivity, and enhance the sustainability of farming processes. It offers an abundance of real-life practical solutions to farm management challenges. With the combination of IoT-based sensing technologies and the enormous potential of big data analytics, contemporary farms will be able to attain a greater level of precision, transparency, and efficiency in its operations.
The book first discusses the challenges of integrating Agriculture 4.0 technologies and then proceeds to explore the myriad uses of smart technologies, such as artificial intelligence, Internet of Things, CNN-based deep learning, big data, chatbots, etc., for a variety of farm-related management issues. These include for green energy generation; for agricultural waste management; for plant disease detection and diagnosis; for security and real-time surveillance threat detection; for data-driven decision making and statistical hypothesis testing; for scheduling of irrigation, fertilization, etc.; for multi-language communication; to estimate and measure yield and field problems; and much more.
This volume helps to meet the growing world demand for efficient food production by offering smart farming solutions to the problems of climate change, resources optimization, and monitoring of crop health. Providing diverse perspectives, new research, and practical applications, this volume will prove to be an important resource for students, academicians, researchers, farmers, agritech professionals, and policymakers who are interested to unravel the transformational role of technology in agriculture.
商品描述(中文翻譯)
數位科技的快速演變已將農業從依賴直覺和傳統轉變為一個以數據為驅動、精確且可持續的領域，通常被稱為農業4.0。到2026年初，人工智慧（AI）、物聯網（IoT）和機器人技術的整合已成為優化生產力、減少浪費和減輕環境影響的基礎，而不僅僅是「可有可無」的選項。當今的農場不僅在傳統方式下運作，還在智能系統、數據驅動的信息和互聯設備方面獲得了更多的能力。
這本新書《智能農場管理系統：將物聯網與大數據分析整合》清楚地闡述了新技術如何改變農業運作、提高農場生產力並增強農業過程的可持續性。它提供了大量針對農場管理挑戰的實際解決方案。結合基於物聯網的感測技術和大數據分析的巨大潛力，當代農場將能夠在其運作中達到更高的精確性、透明度和效率。
本書首先討論了整合農業4.0技術的挑戰，然後探討了智能技術的多種應用，例如人工智慧、物聯網、基於CNN的深度學習、大數據、聊天機器人等，針對各種與農場相關的管理問題。這些問題包括綠色能源生成、農業廢棄物管理、植物疾病檢測與診斷、安全和實時監控威脅檢測、數據驅動的決策制定和統計假設檢驗、灌溉和施肥的排程、多語言溝通、估算和測量產量及田地問題等，還有更多。
這本書通過提供智能農業解決方案來應對氣候變化、資源優化和作物健康監測等問題，幫助滿足全球對高效食品生產日益增長的需求。提供多元的觀點、新的研究和實際應用，這本書將成為學生、學者、研究人員、農民、農業科技專業人士和政策制定者的重要資源，幫助他們了解科技在農業中的轉型角色。
作者簡介
Atul B. Kathole, PhD, is serving as an Professor in the Department of Computer Engineering at ADYPU, Pune, India. He earned his MTech and PhD in Computer Science & Engineering and has also completed an MBA (IT). His teaching experience spans over a decade, and his research interests include Internet of Things (IoT), VANETs, network security, deep learning, and federated learning in cloud environments. He holds several patents and has published in areas such as IoT-enabled pest identification, intrusion detection, and cloud load-balancing.
Kapil Netaji Vhatkar, PhD, is an Associate Professor at the Symbiosis Skills and Professional University, Pune, India. He holds a PhD in Computer Engineering from Veermata Jijabai Technological Institute (VJTI), Mumbai. Prior to this, he had roles in industry as a network engineer and in academia for over14 years in teaching and guiding undergraduate students. His research areas are focused on optimization algorithms, resource allocation in cloud computing, deep learning, and networking. He has co-authored a work on IoT-based agriculture, cloud resource scheduling, and virus-host prediction using deep recurrent neural networks.
Vinod V. Kimbahune, PhD, serves as Professor and Head of the Department of Computer Engineering at the Dr. D. Y. Patil Institute of Technology, Pimpri, Pune, India. His academic credentials include a PhD in Computer Engineering, and he has published extensively in areas such as IoT, artificial intelligence, and machine learning applied to networking and smart systems. As Department Head, he also oversees departmental activities including placements, laboratories, student innovation, and research and industry linkages.
Lalit Kumar Wadhwa, PhD, a seasoned academic, is Professor at Dr. D. Y. Patil Institute of Technology, Pimpri, Pune, India. He completed his bachelor's in Electronics & Telecommunication Engineering and ME in Electronics Engineering at Government College of Engineering, Pune. He earned his PhD from the Indian Institute of Technology (ISM), Dhanbad, India. With over 20 years in academia and research, he has authored books, filed patents, and contributed to institutional accreditation and academic policy development. His focus has been on innovative teaching-learning practices, student-centric leadership, and fostering industry-academic collaboration.
作者簡介(中文翻譯)
Atul B. Kathole, PhD 目前擔任印度浦那ADYPU計算機工程系的教授。他獲得了計算機科學與工程的碩士及博士學位，並且完成了IT領域的MBA。他的教學經驗超過十年，研究興趣包括物聯網（IoT）、車輛自組網（VANETs）、網路安全、深度學習以及雲端環境中的聯邦學習。他擁有多項專利，並在物聯網驅動的害蟲識別、入侵檢測和雲端負載平衡等領域發表過論文。
Kapil Netaji Vhatkar, PhD 是印度浦那的Symbiosis技能與專業大學的副教授。他擁有孟買Veermata Jijabai技術學院（VJTI）的計算機工程博士學位。在此之前，他在業界擔任網路工程師，並在學術界有超過14年的教學和指導本科生的經驗。他的研究領域集中在優化算法、雲計算中的資源分配、深度學習和網路技術。他共同撰寫了一部關於基於物聯網的農業、雲資源調度以及使用深度遞歸神經網絡進行病毒-宿主預測的著作。
Vinod V. Kimbahune, PhD 擔任印度浦那Dr. D. Y. Patil技術學院計算機工程系的教授及系主任。他的學術背景包括計算機工程博士學位，並在物聯網、人工智慧及應用於網路和智慧系統的機器學習等領域發表了大量論文。作為系主任，他還負責部門活動，包括就業、實驗室、學生創新以及研究與產業聯繫。
Lalit Kumar Wadhwa, PhD 是一位經驗豐富的學者，擔任印度浦那Dr. D. Y. Patil技術學院的教授。他在浦那政府工程學院完成了電子與電信工程的學士學位及電子工程的碩士學位，並在印度礦業技術學院（ISM）獲得博士學位。擁有超過20年的學術和研究經驗，他撰寫了多本書籍，申請了專利，並對機構認證及學術政策發展做出了貢獻。他的重點在於創新的教學學習實踐、以學生為中心的領導以及促進產學合作。
