相關主題
商品描述
Bring the latest technology to bear in the fight for sustainable agriculture with this timely volume
Artificial intelligence (AI) has the potential to revolutionize virtually every area of research and scientific practice, including agriculture. With AI solutions emerging to drive higher yields, produce increased resource efficiency, and foster sustainability, there is an urgent need for a volume outlining this progress and charting its future course.
Emerging Smart Agricultural Practices Using Artificial Intelligence meets this need with a deep dive into the rapidly developing intersection of agriculture and artificial intelligence. Taking an interdisciplinary approach which applies data science, computer science, and engineering techniques, the book provides cutting-edge insights on the latest advancements in AI-driven agricultural practices. The result is an absolutely critical tool in the ongoing fight to develop sustainable world agriculture.
In addition, this book provides:
- Case studies and real-world applications of new techniques throughout
- Detailed discussion of agricultural applications for AI-driven technologies such as machine learning, computer vision, and data analytics
- A regional approach showcasing international best practices and addressing the varying needs of farmers worldwide
Emerging Smart Agricultural Practices Using Artificial Intelligence is ideal for agricultural professionals and scientists, as well as data scientists, technologists, and agricultural policymakers.
商品描述(中文翻譯)
將最新技術應用於可持續農業的鬥爭中，這本及時的著作提供了重要的支持
人工智慧（AI）有潛力徹底改變幾乎所有研究和科學實踐領域，包括農業。隨著AI解決方案的出現，能夠提高產量、提升資源效率並促進可持續性，迫切需要一本書來概述這一進展並規劃其未來方向。
利用人工智慧的新興智慧農業實踐 滿足了這一需求，深入探討了農業與人工智慧快速發展的交集。該書採取跨學科的方法，應用數據科學、計算機科學和工程技術，提供有關AI驅動的農業實踐最新進展的前沿見解。其結果是，在持續發展可持續世界農業的鬥爭中，這本書成為一個絕對關鍵的工具。
此外，本書還提供：
- 案例研究和新技術的實際應用
- 對AI驅動技術（如機器學習、計算機視覺和數據分析）在農業應用中的詳細討論
- 展示國際最佳實踐的區域性方法，並針對全球農民的不同需求進行探討
利用人工智慧的新興智慧農業實踐 非常適合農業專業人士和科學家，以及數據科學家、技術專家和農業政策制定者。
作者簡介
Ashish Kumar, PhD, is an Associate Professor with Bennett University, Greater Noida, U.P. India. He has published widely on subjects including object tracking, image processing, artificial intelligence, and medical imaging analysis, and is a member of the IEEE.
Jai Prakash Verma, PhD, is an Associate Professor in the Department of Computer Science and Engineering, Nirma University, Ahmedabad, India. He offers customized training on big data analytics to the Indian Navy, SAC-ISRO scientists in Ahmedabad, and other experts from industry and academia.
Rachna Jain, PhD, is an Associate Professor in the Department of Information Technology Bhagwan Parshuram Institute of Technology. She has 18+ years of academic/research experience with more than 100+ publications in various international conferences and international journals (Scopus/ISI/SCI) of high repute.
作者簡介(中文翻譯)
Ashish Kumar, PhD, 是印度大諾伊達的班奈特大學（Bennett University）副教授。他在物體追蹤、影像處理、人工智慧和醫學影像分析等主題上發表了廣泛的研究，並且是IEEE的成員。
Jai Prakash Verma, PhD, 是印度艾哈邁達巴德的尼爾瑪大學（Nirma University）計算機科學與工程系的副教授。他為印度海軍、艾哈邁達巴德的SAC-ISRO科學家以及其他來自產業和學術界的專家提供量身定制的大數據分析培訓。
Rachna Jain, PhD, 是巴哈萬·帕爾舒拉姆技術學院（Bhagwan Parshuram Institute of Technology）資訊科技系的副教授。她擁有超過18年的學術/研究經驗，並在各種國際會議和高聲望的國際期刊（Scopus/ISI/SCI）上發表了超過100篇論文。
