Digital Technologies and Tools for Smart Agriculture
暫譯: 智慧農業的數位技術與工具

Ramasamy, Madhumathi, Mohan, Karthigha, Raj, Pethuru

Digital Technologies and Tools for Smart Agriculture
  • 出版商: CRC
  • 出版日期: 2025-05-29
  • 售價: $4,780
  • 貴賓價: 9.5 折 $4,541
  • 語言: 英文
  • 頁數: 234
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032782552
  • ISBN-13: 9781032782553

    • 尚未上市，無法訂購

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商品描述

To meet the food requirements of the growing population worldwide, the agricultural domain is being technologically empowered to produce more with fewer resources and investments. Fortunately, the faster maturity and stability of digital (digitization and digitalization) technologies and tools have laid a stimulating and sparking foundation for large-scale production of food items with minimal time, talent, and treasure. The penetration and pervasiveness of the Internet of Things (IoT) sensors and actuators are considered the first and foremost aspect of advanced and adaptive agriculture. Further, the device ecosystem for automated and accelerated agriculture processes and practices grows consistently. The robots and drone space advancements are fascinating, as they are set to transform the industry. Connected robots, drones, and other agriculture equipment, appliances, instruments, and machinery are flourishing towards intelligent agriculture. Agriculture sensors and devices generate a lot of real-time and real-world digital data. With the help of artificial intelligence (AI) methods, all agriculture data are subjected to various deep and decisive investigations to extract actionable insights in time. Other noteworthy improvisations include the widespread deployment of 5G communication networks, the growing power of edge analytics and intelligence, the distinct contributions of blockchain technology, the adoption and adaptation of cloud-native computing principles, the phenomenon of digital twins, etc., in the digital space. All these developments have led to the realization of smart agriculture products, solutions, and services.

Features:

  • Delineate the role and responsibilities of digital technologies towards smart agriculture
  • Delve into the potential of IoT and AI, along with other critical technological advancement
  • Demystify large language models (LLMs) and visual language models (VLMs)
  • Dig deep and delve into the advancements in the robots and drone space
  • Describe how digital innovations can significantly elevate agriculture processes, platforms, patterns, and practices

This book will delve into the transformative power of digital technologies in agriculture, particularly in the context of smart agriculture. It will highlight how these technologies and innovative digital devices are reshaping the agricultural landscape. The book will also showcase the disruptive potential of these technologies, illustrating how they are revolutionizing traditional farming practices and processes.

商品描述(中文翻譯)

為了滿足全球不斷增長的人口對食物的需求，農業領域正在透過技術賦能，以更少的資源和投資生產更多的產品。幸運的是，數位（數位化和數位化）技術和工具的快速成熟與穩定，為大規模生產食物項目奠定了刺激和啟發的基礎，所需的時間、人才和資金都降至最低。物聯網（IoT）傳感器和執行器的滲透和普及被視為先進和自適應農業的首要方面。此外，自動化和加速農業過程及實踐的設備生態系統持續增長。機器人和無人機領域的進展令人著迷，因為它們將改變這個行業。連接的機器人、無人機及其他農業設備、器具、儀器和機械正朝向智慧農業蓬勃發展。農業傳感器和設備生成大量即時和現實世界的數位數據。在人工智慧（AI）方法的幫助下，所有農業數據都經過各種深入和決定性的調查，以提取可行的見解。其他值得注意的改進包括5G通信網絡的廣泛部署、邊緣分析和智能的增強、區塊鏈技術的獨特貢獻、雲原生計算原則的採用和適應、數位雙胞胎現象等，這些都在數位空間中發生。所有這些發展促成了智慧農業產品、解決方案和服務的實現。

特點：
- 描述數位技術在智慧農業中的角色和責任
- 深入探討物聯網和人工智慧的潛力，以及其他關鍵技術進展
- 解密大型語言模型（LLMs）和視覺語言模型（VLMs）
- 深入挖掘機器人和無人機領域的進展
- 描述數位創新如何顯著提升農業過程、平台、模式和實踐

本書將深入探討數位技術在農業中的變革力量，特別是在智慧農業的背景下。它將強調這些技術和創新數位設備如何重塑農業格局。本書還將展示這些技術的顛覆潛力，說明它們如何徹底改變傳統農業實踐和過程。

作者簡介

Dr. R. Madhumathi completed her Ph.D from Anna University, Chennai in November 2016. She has around 22 years of Teaching Experience including 12 years of research experience. Her area of interest includes Cloud Computing, Artificial Intelligence, Internet of Things and Quantum Computing. She has published many papers in SCI International Journals and IEEE, Springer conferences. She has received research grant from Department of Science and Technology, Science and Engineering Research Board (DST - SERB) under Teachers Associateship for Research Excellence (TARE) scheme. Recently she has received visiting scientists fellowship from Indian National Science and Academy (INSA) to work in IIT-Madras. She has also received grants from Indian Council for Medical Research (ICMR), Science and Engineering Research Board and Council of Scientific and Industrial Research (CSIR) to conduct various workshops and seminars. She has chaired sessions for many National and International Conferences. She is a life member in CSI, ISTE, ISAE and member in IEEE Women in Engineering.

Dr. M. Karthigha, is presently working as an Assistant Professor, Department of Computing Science and Engineering, PSG Institute of Technology and Applied Research, Coimbatore, India. She completed her PhD degree in the area of Network Security and Deep Learning. She has 12 years of experience which includes both teaching and research. She has been guiding undergraduate and post graduate in all the recent areas of Computing Security. She has published more than 20 research papers in national and international journals, international conferences and book chapters. She has delivered technical talks in the areas of cyber security, AR/VR. Her research areas include Cyber Security, Deep Learning, Virtual Reality and Augmented Reality.

Dr. Pethuru Raj Chelliah - Working as a chief architect at Edge AI Division, Reliance Jio Platforms Ltd. (JPL) Bangalore. Previously, worked in IBM global Cloud center of Excellence (CoE), Wipro consulting services (WCS), and Robert Bosch Corporate Research (CR). In total, I have gained more than 22 years of IT industry experience and 8 years of research experience. Finished the CSIR-sponsored PhD degree at Anna University, Chennai and continued with the UGC-sponsored postdoctoral research in the Department of Computer Science and Automation, Indian Institute of Science (IISc), Bangalore. Thereafter, I was granted a couple of international research fellowships (JSPS and JST) to work as a research scientist for 3.5 years in two leading Japanese universities. I am a professional member in ACM. Focusing on some of the emerging technologies such as the Internet of Things (IoT), Artificial Intelligence (AI) Model engineering and optimization, Big, fast and streaming Analytics, Blockchain, Digital Twins, Cloud-native computing, Edge and Serverless computing, Reliability engineering, Microservices architecture (MSA), Event-driven architecture (EDA), 5G, etc.

Dr. Kai Sheng received the B.E. degree in information engineering from the Central South University, Changsha, China, in 2000 and Ph.D. degree in risk engineering from the University of Tsukuba, Tsukuba, Japan, in 2006. He is currently a Professor of the Guangzhou Institute of Technology and the Academy of Advanced Interdisciplinary Research, Xidian University, China. His research interests include computational intelligence, remote sensing image understanding and AI technologies application to the V2X-based automated driving that from the collaborating environment sensing, communication algorithms, motion planning to the system security and safety.

作者簡介(中文翻譯)

R. Madhumathi 博士於2016年11月在印度金奈的安娜大學完成博士學位。她擁有約22年的教學經驗，其中包括12年的研究經驗。她的研究興趣包括雲端運算、人工智慧、物聯網和量子運算。她在SCI國際期刊和IEEE、Springer會議上發表了多篇論文。她獲得了來自科學與技術部、科學與工程研究委員會（DST - SERB）在教師研究卓越獎學金（TARE）計畫下的研究補助。最近，她獲得了印度國家科學院（INSA）的訪問科學家獎學金，以便在印度理工學院-馬德拉斯（IIT-Madras）工作。她還獲得了來自印度醫學研究委員會（ICMR）、科學與工程研究委員會和科學與工業研究委員會（CSIR）的資助，以舉辦各種工作坊和研討會。她曾主持多場國內外會議的會議。她是CSI、ISTE、ISAE的終身會員，並且是IEEE女性工程師的成員。

M. Karthigha 博士目前擔任印度科印巴多的PSG技術與應用研究所計算科學與工程系的助理教授。她在網路安全和深度學習領域獲得博士學位。她擁有12年的教學和研究經驗，並指導本科生和研究生在計算安全的各個最新領域。她在國內外期刊、國際會議和書籍章節上發表了超過20篇研究論文。她在網路安全、AR/VR等領域進行了技術演講。她的研究領域包括網路安全、深度學習、虛擬實境和擴增實境。

Pethuru Raj Chelliah 博士目前在Reliance Jio Platforms Ltd. (JPL) 的邊緣AI部門擔任首席架構師。之前，他曾在IBM全球雲端卓越中心（CoE）、Wipro諮詢服務（WCS）和羅伯特·博世企業研究（CR）工作。總體而言，他在IT行業擁有超過22年的經驗和8年的研究經驗。他在安娜大學完成了CSIR贊助的博士學位，並在印度科學院（IISc）計算機科學與自動化系繼續進行UGC贊助的博士後研究。此後，他獲得了幾個國際研究獎學金（JSPS和JST），在兩所領先的日本大學擔任研究科學家3.5年。他是ACM的專業會員。專注於一些新興技術，如物聯網（IoT）、人工智慧（AI）模型工程與優化、大數據、快速與串流分析、區塊鏈、數位雙胞胎、雲原生計算、邊緣與無伺服器計算、可靠性工程、微服務架構（MSA）、事件驅動架構（EDA）、5G等。

Kai Sheng 博士於2000年在中國長沙的中南大學獲得資訊工程學士學位，並於2006年在日本筑波大學獲得風險工程博士學位。他目前是廣州技術學院和西電大學先進跨學科研究院的教授。他的研究興趣包括計算智能、遙感影像理解以及AI技術在基於V2X的自動駕駛中的應用，涵蓋從協作環境感知、通信算法、運動規劃到系統安全與安全性。

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