Digital Farming: Case Studies and Applications of IoT and AI in Agricultural Industry
暫譯: 數位農業:IoT 與 AI 在農業產業的案例研究與應用

Chandrakumar, T., Sharma, Bhisham, Chowdhury, Subrata

  • 出版商: CRC
  • 出版日期: 2026-10-21
  • 售價: $7,580
  • 貴賓價: 9.5$7,201
  • 語言: 英文
  • 頁數: 264
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032767251
  • ISBN-13: 9781032767253
  • 相關分類: 物聯網 IoTMachine Learning
  • 尚未上市,無法訂購

商品描述

This book explores IoT-based ecosystems and AI-driven automation in agriculture to provide solutions for intelligent farming systems and precision agriculture techniques. It provides a comprehensive view of emerging technologies' integration and the resultant impact on the farming ecosystem. Real-world case studies and examples
of IoT and AI applications in agriculture are included to show how IoT and AI have revolutionized conventional agriculture. The book also examines the potential and difficulties of deploying IoT and AI in the agricultural business with case studies.

Features:
- Demonstrates how technologies like precision agriculture, smart sensors, and automated systems can be utilized to boost production, reduce waste, and increase sustainability by optimizing resource usage and reducing
environmental impact.
- Explains how small sensors, intelligence drones, or low-power Internet of Things setups for detecting, monitoring, gathering, analyzing, and storing data through cloud platforms are encouraging smart and intelligent agriculture.
- Highlights IoT and AI intervention options for effective assessment of musculoskeletal, ergonomic, and postural analyses.
- Explains usage of AI and IoT in precision farming, agricultural drones and hopping systems, livestock monitoring, temperature monitoring, smart greenhouses, and computer imaging.
- Discusses challenges like data security, rural connectivity issues, infrastructure limitations, and the digital divide in rural areas.

The book is a helpful reference for professionals, scholars, and students interested in digital farming and sustainable agricultural practices. It acts as a guiding tool for practitioners, researchers, educators, and policymakers, encouraging discussions, innovations, and advancements that will shape a sustainable, efficient, and resilient future for agriculture.

商品描述(中文翻譯)

本書探討以 IoT 為基礎的生態系統,以及農業中的 AI 驅動自動化,為智慧農業系統與精準農業技術提供解決方案。本書全面介紹新興技術的整合,以及其對農業生態系統所帶來的影響。書中收錄 IoT 與 AI 應用於農業的真實案例與實例,展示 IoT 和 AI 如何革新傳統農業。此外,本書也透過案例研究,探討在農業產業中部署 IoT 與 AI 的潛力及所面臨的困難。

特色:

- 示範如何運用精準農業、智慧感測器與自動化系統等技術,透過最佳化資源使用、降低環境影響,提升產量、減少浪費並提高永續性。
- 說明小型感測器、智慧型無人機,以及低功耗 Internet of Things 裝置如何透過雲端平台進行資料偵測、監控、蒐集、分析與儲存,進而促進智慧農業的發展。
- 強調 IoT 與 AI 在肌肉骨骼、人體工學及姿勢分析等方面的有效評估應用。
- 說明 AI 與 IoT 在精準農業、農業無人機與跳躍系統、畜牧監控、溫度監測、智慧溫室及電腦影像等領域的應用。
- 討論資料安全、偏遠農村的網路連線問題、基礎設施限制,以及農村地區數位落差等挑戰。

本書是對數位農業與永續農業實務感興趣的專業人士、學者及學生的重要參考資料。本書也可作為實務工作者、研究人員、教育工作者及政策制定者的指引工具,鼓勵各界展開討論、推動創新與進步,共同形塑農業永續、高效且具韌性的未來。

作者簡介

T. Chandrakumar is a Professor of Data Science in the Department of Applied Mathematics and Computational Science at Thiagarajar College of Engineering (TCE), Madurai, Tamil Nadu, India. His scholarly work spans diverse domains including agricultural informatics, biomedical image processing, enterprise systems, and intelligent computing, reflecting strong interdisciplinary expertise.

Bhisham Sharma is currently working at the Centre of Research Impact and Outcome (CRIO), Chitkara University, Punjab, India. His research interests span Wireless Communication, Wireless Sensor Networks, Wireless Mesh Networks, Next Generation Networking, Network Security, Internet of Things, UAV, Medical Image Processing, Artificial Intelligence, Deep Learning, Machine Learning, and Edge/Fog Computing.

Subrata Chowdhury is an Associate Professor in the Department of Computer Science and Engineering, Sri Venkateswara College of Engineering & Technology, Andhra Pradesh, India.

Khaled Rabie is currently a Distinguished Associate Professor with the Computer Engineering Department at King Fahd University of Petroleum & Minerals (KFUPM), Saudi Arabia. His current research interests focus on designing and developing next-generation wireless communication systems.

作者簡介(中文翻譯)

T. Chandrakumar 是印度泰米爾納德邦馬杜賴 Thiagarajar College of Engineering (TCE) 應用數學與計算科學系的資料科學教授。他的學術研究涵蓋農業資訊學、生醫影像處理、企業系統與智慧計算等多元領域,展現深厚的跨領域專業能力。

Bhisham Sharma 目前任職於印度旁遮普邦 Chitkara University 的 Centre of Research Impact and Outcome (CRIO)。他的研究興趣涵蓋無線通訊、Wireless Sensor Networks、Wireless Mesh Networks、次世代網路、網路安全、Internet of Things、UAV、醫學影像處理、Artificial Intelligence、Deep Learning、Machine Learning,以及 Edge/Fog Computing。

Subrata Chowdhury 是印度安得拉邦 Sri Venkateswara College of Engineering & Technology 電腦科學與工程系的副教授。

Khaled Rabie 目前是沙烏地阿拉伯 King Fahd University of Petroleum & Minerals (KFUPM) 電腦工程系的特聘副教授。他目前的研究興趣著重於次世代無線通訊系統的設計與開發。