Smart Agriculture: Harnessing Machine Learning for Crop Management (智慧農業:運用機器學習進行作物管理)
Dhaygude, Amol Dattatray, Kumar Swarnkar, Suman, Chugh, Priya
- 出版商: CRC
- 出版日期: 2024-12-18
- 售價: $3,600
- 貴賓價: 9.5 折 $3,420
- 語言: 英文
- 頁數: 168
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032832800
- ISBN-13: 9781032832807
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相關分類:
Machine Learning
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相關主題
商品描述
This book, Smart Agriculture: Harnessing Machine Learning for Crop Management, is a comprehensive guide designed to explore the various facets of integrating machine learning into agricultural practices. It aims to provide readers with a solid foundation in machine learning concepts while demonstrating their practical applications in real-world farming scenarios. It also examines the role of remote monitoring and precision agriculture, highlighting how technologies such as remote sensing and recurrent neural networks can optimize farming practices.
This book:
- Emphasizes sustainable agricultural practices and data-driven decision-making for eco-friendly farming.
- Highlights the importance of using environmentally friendly practices, and how machine learning can play a pivotal role in achieving sustainability goals.
- Discusses topics such as crop optimization, disease detection, pest control, resource management, precision agriculture, and sustainability.
- Covers predictive analytics for weather forecasting, Internet of Things applications for precision agriculture, and the role of sensors in data collection.
- Illustrates optimizing resource allocation, irrigation with artificial intelligence, and machine learning for soil health assessment.
Whether you are a researcher, a student, an agricultural professional, or a technology enthusiast, this book offers valuable insights into the transformative power of machine learning in agriculture. It invites readers to explore the potential of machine learning to transform farming practices, improve food security, and promote environmental sustainability.
商品描述(中文翻譯)
本書《智慧農業:利用機器學習進行作物管理》是一本全面的指南,旨在探討將機器學習整合到農業實踐中的各個面向。它旨在為讀者提供機器學習概念的堅實基礎,同時展示其在現實農業場景中的實際應用。書中還探討了遠程監控和精準農業的角色,強調如遙感技術和循環神經網絡等技術如何優化農業實踐。
本書:
- 強調可持續農業實踐和基於數據的決策,以實現環保農業。
- 突出使用環保實踐的重要性,以及機器學習在實現可持續發展目標中的關鍵作用。
- 討論作物優化、疾病檢測、害蟲控制、資源管理、精準農業和可持續性等主題。
- 涵蓋天氣預測的預測分析、物聯網在精準農業中的應用,以及傳感器在數據收集中的角色。
- 說明如何利用人工智慧優化資源配置、灌溉以及機器學習進行土壤健康評估。
無論您是研究人員、學生、農業專業人士或技術愛好者,本書都提供了有關機器學習在農業中變革力量的寶貴見解。它邀請讀者探索機器學習在改變農業實踐、改善糧食安全和促進環境可持續性方面的潛力。
作者簡介
Amol Dattatray Dhaygude is a renowned professional in the field of machine learning, artificial intelligence, data science and computer science. He is an alumnus of University of Washington, Seattle, USA with a master of science degree in data science and specialization in machine learning. Amol has 16 years of software industry experience in top-tier organizations including IBM, Cognizant, and Microsoft Corporation. He has been employed at Microsoft Corporation for the last ten years in the role of Senior Data and Applied at Redmond, Washington. He is inspired to make use of cutting-edge technological advancements in the field of machine learning and artificial intelligence to solve real-world practical problems, making a difference in the world. He has strong techno business acumen to formulate and solve business problems with applications of data science, machine learning and artificial intelligence. He is well-versed in deep learning, natural language processing, and computer vision fields of artificial intelligence.
Suman Kumar Swarnkar is a highly accomplished professional with a Ph.D. and M.Tech qualifications. With over a decade of experience in educational institutions, Dr. Swarnkar has been serving as an Assistant Professor in the Computer Science & Engineering Department at Shri Shankaracharya Institute of Professional Management and Technology, Durg, Chhattisgarh, India. His expertise includes mentoring over ten MTech Scholars and securing more than ten granted patents in India, Australia, and the United Kingdom. Dr. Swarnkar has also made significant contributions to academia with over ten research papers published in international journals indexed in Scopus. Additionally, he has actively participated in 7+ IEEE international conferences and holds memberships in various professional organizations such as IEEE, Computer Society, IAENG, ASR, ICSES, and the Internet Society. Dr. Swarnkar's dedication to professional development is evident through his successful completion of numerous Faculty Development Programs (FDPs), training programs, webinars, and workshops, along with a comprehensive two-week online Patent Information Course. His proficiency extends to managing teaching, research, and administrative responsibilities with great expertise and diligence.
Priya Chugh obtained her Ph.D. from Punjab Agricultural University, Ludhiana, Pujab, India. She has more than three years experience in teaching and research. Her doctoral research emphasis on effect of crop species toward climate change. She has published more than eight research papers, seven book chapters and two review papers. She has a passion for writing interdisciplinary research that opens up new creative and informative ideas. She has also participated in various national and international interdisciplinary conferences. Presently, she is working as Assistant Professor at the School of Agriculture, Dehradun, Uttarakhand.
Yogesh Kumar Rathore received an M. Tech degree in computer science engineering from Chhattisgarh Swami Vivekanand Technical University, Bhilai, India in the year 2010, and a Ph.D. in information technology from the National Institute of Technology, Raipur. He has 16 years' experience of working, as a Asstistant Professor (Department of Computer Science Engineering) at Shri Shankaracharya Institute of Professional Management and Technology, Raipur, Chhattisgarh, India. He has published more than 40 research papers in various conferences and journals indexed in Scopus and the Science Citation Index. He has also contributed many book chapters in books published by international publishers and also published two patents on the topics of "RIFT based automatic parking system for vehicle" and "AI-based technique for plant disease identification". He has good hands-on C, MATLAB, IoT and Python programming language, which are the soul of much research in today's era. His interests include pattern recognition, image processing, video processing, deep learning, machine learning, and artificial intelligence.
作者簡介(中文翻譯)
Amol Dattatray Dhaygude 是機器學習、人工智慧、數據科學和計算機科學領域的知名專業人士。他是美國華盛頓大學的校友,擁有數據科學碩士學位,並專攻機器學習。Amol 在 IBM、Cognizant 和微軟等頂尖組織擁有 16 年的軟體產業經驗。在過去的十年中,他在微軟公司擔任高級數據與應用職位,工作地點位於華盛頓州雷德蒙德。他受到啟發,致力於利用機器學習和人工智慧領域的尖端技術來解決現實世界中的實際問題,為世界帶來改變。他擁有強大的技術商業敏銳度,能夠利用數據科學、機器學習和人工智慧的應用來制定和解決商業問題。他在深度學習、自然語言處理和計算機視覺等人工智慧領域具有豐富的知識。
Suman Kumar Swarnkar 是一位成就卓越的專業人士,擁有博士和碩士技術學位。Dr. Swarnkar 在教育機構擁有超過十年的經驗,目前在印度恰蒂斯加爾邦杜爾格的 Shri Shankaracharya 專業管理與技術學院擔任計算機科學與工程系的助理教授。他的專業領域包括指導超過十名碩士學者,並在印度、澳大利亞和英國獲得超過十項專利。Dr. Swarnkar 也在學術界做出了重要貢獻,發表了超過十篇在 Scopus 索引的國際期刊論文。此外,他積極參加了 7 次以上的 IEEE 國際會議,並在 IEEE、計算機學會、IAENG、ASR、ICSES 和互聯網學會等多個專業組織中擔任會員。Dr. Swarnkar 對專業發展的投入通過他成功完成的多個教師發展計劃(FDP)、培訓計劃、網路研討會和工作坊,以及為期兩週的在線專利信息課程得以體現。他在教學、研究和行政責任的管理上展現出卓越的專業能力和勤奮。
Priya Chugh 於印度旁遮普邦盧迪亞納的旁遮普農業大學獲得博士學位。她在教學和研究方面擁有超過三年的經驗。她的博士研究重點在於作物物種對氣候變化的影響。她已發表超過八篇研究論文、七章書籍章節和兩篇綜述論文。她熱衷於撰寫跨學科的研究,開創新的創意和資訊性想法。她還參加了各種國內和國際的跨學科會議。目前,她在烏塔拉坎德的德拉敦農業學院擔任助理教授。
Yogesh Kumar Rathore 於 2010 年在印度恰蒂斯加爾邦比萊的恰蒂斯加爾斯瓦米維韋卡南德技術大學獲得計算機科學工程碩士學位,並在國立技術學院拉伊普爾獲得信息技術博士學位。他在印度恰蒂斯加爾邦拉伊普爾的 Shri Shankaracharya 專業管理與技術學院擔任計算機科學工程系助理教授,擁有 16 年的工作經驗。他在各種會議和期刊上發表了超過 40 篇研究論文,這些論文均已在 Scopus 和科學引文索引中索引。他還為國際出版商出版的書籍貢獻了多個書籍章節,並在「基於 RIFT 的自動停車系統」和「基於 AI 的植物疾病識別技術」等主題上發表了兩項專利。他在 C、MATLAB、IoT 和 Python 程式語言方面擁有良好的實踐經驗,這些都是當今研究的核心。他的興趣包括模式識別。