Robotics and Intelligent Machines in Smart Agriculture: Emerging Systems and Applications
暫譯: 智慧農業中的機器人與智能機械：新興系統與應用

Shabaz, Mohammad

Robotics and Intelligent Machines in Smart Agriculture: Emerging Systems and Applications
  • 出版商: CRC
  • 出版日期: 2026-04-03
  • 售價: $9,280
  • 貴賓價: 9.8 折 $9,094
  • 語言: 英文
  • 頁數: 358
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032912448
  • ISBN-13: 9781032912448
  • 相關分類: 機器人製作 Robots

    • 海外代購書籍(需單獨結帳)

商品描述

This book showcases new ideas and innovations in agricultural practices including increased efficiency, reduced labour costs, optimized resource utilization, and enhanced crop quality. It covers the application of sensing, monitoring, data processing, learning, decision support, automated control, and smart technology that will help the agricultural entrepreneur run the farm or food processing plant.

Features:

  • Discusses comprehensively the use of robotics and intelligent machine systems for smart agricultural production.
  • Covers topics such as agricultural value chain, from plant and animal breeding to on-farm production, transportation, packaging, and food processing.
  • Presents smart technology that will assist the agricultural entrepreneur in the operational management of the farm or food processing facility by sensing, monitoring, data processing, and learning, as well as decision assistance, and automation control.
  • Showcases the role of robotics in mart agricultural applications such as soil analysis, environmental monitoring, cloud seeding, sowing seeds, harvesting, and weed control.
  • Explains passive and active perception using remote and proximal sensing, and development of task-based robots for intelligent farming systems.

It is written for senior undergraduates, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communication engineering, agriculture engineering, computer science, and engineering.

商品描述(中文翻譯)

這本書展示了農業實踐中的新想法和創新，包括提高效率、降低勞動成本、優化資源利用和提升作物品質。它涵蓋了感測、監控、數據處理、學習、決策支持、自動控制和智慧技術的應用，這些將幫助農業企業家經營農場或食品加工廠。

特色：
- 全面討論機器人和智能機械系統在智慧農業生產中的應用。
- 涵蓋農業價值鏈的主題，從植物和動物繁殖到農場生產、運輸、包裝和食品加工。
- 提出智慧技術，幫助農業企業家在農場或食品加工設施的運營管理中進行感測、監控、數據處理和學習，以及決策輔助和自動化控制。
- 展示機器人在智慧農業應用中的角色，例如土壤分析、環境監測、雲播種、播種、收割和雜草控制。
- 解釋使用遠端和近端感測的被動和主動感知，以及為智能農業系統開發基於任務的機器人。

本書是為高年級本科生、研究生和來自不同領域的學術研究者撰寫的，包括電機工程、電子與通信工程、農業工程、計算機科學和工程。

作者簡介

Mohammad Shabaz has completed his B. Tech in Information Technology and Telecommunication Engineering from Baba Ghulam Shah Badshah University, J&K, M.E and Ph.D. in Computer Science Engineering from Chandigarh University, Mohali. He is working as Assistant Professor (Senior Scale) at Marwadi University Research Centre, Faculty of Engineering and Technology, Marwadi University, Rajkot, 360003, Gujarat, India. He is Editor at Neuroscience Informatics (Elsevier). Furthermore, he Guest-Edited many special issues in various journals like Healthcare Analytics, Decision Analytics Journal, SLAS Technology, Journal of Neuroscience Methodx, IEEE Transactions on Consumer Electronics, IEEE JBHI, Nanotechnology reviews, Nonlinear Engineering, Open Life Sciences, Discover Sustainability etc. His area of interest is application of computer science in interdisciplinary domains. He has published over 250+ research papers in various journals indexed in Scopus/Web of Science and having a Scopus H-index of 38 and Google Scholar H-index of 49, 10 Indian Patents and 3 Australian Patents. His major work is in the healthcare domain. His major contributions include the creation of novel algorithms like SA Sorting, Shabaz-Urvashi Link Prediction. He was included in the Stanford University and Elsevier World's top two percent scientist rankings 2023, 2024, 2025.

作者簡介(中文翻譯)

Mohammad Shabaz 完成了在印度查謨和克什米爾的 Baba Ghulam Shah Badshah University 獲得的資訊科技與電信工程的學士學位（B. Tech），以及在 Mohali 的 Chandigarh University 獲得的計算機科學工程的碩士（M.E）和博士（Ph.D）學位。他目前擔任印度古吉拉特邦 Rajkot 的 Marwadi University Research Centre 工程與技術學院的助理教授（高級職級）。他是《Neuroscience Informatics》（Elsevier）的編輯。此外，他還擔任多個期刊的特刊客座編輯，如 Healthcare Analytics、Decision Analytics Journal、SLAS Technology、Journal of Neuroscience Methodx、IEEE Transactions on Consumer Electronics、IEEE JBHI、Nanotechnology Reviews、Nonlinear Engineering、Open Life Sciences、Discover Sustainability 等。他的研究興趣在於計算機科學在跨學科領域的應用。他在各種被 Scopus/Web of Science 索引的期刊上發表了超過 250 篇研究論文，擁有 Scopus H-index 38 和 Google Scholar H-index 49，並擁有 10 項印度專利和 3 項澳大利亞專利。他的主要研究領域是醫療保健。他的主要貢獻包括創建新穎的演算法，如 SA Sorting 和 Shabaz-Urvashi Link Prediction。他在 2023、2024 和 2025 年被列入斯坦福大學和 Elsevier 全球前 2% 科學家排名。

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