Synopsis
There are various factors that influence the quality and quantity of agricultural products; among them, weather conditions play the most significant role in agriculture. More reliable weather forecasting enables farmers to make important planting and harvesting decisions that can enhance agricultural yield. Thus, there is a dire need to combine all available modern technologies and agricultural science for economic and environmentally sustainable crop production. In this direction, artificial intelligence (AI) serves as a budding solution in the domain of agriculture practices.
Artificial Intelligence Tools and Technologies for Smart Farming and Agriculture Practices discusses various tools and technologies that can be used in smart farming and agriculture practice and explores the role of different emerging technologies like the internet of things, big data, machine learning, deep learning, and AI from agricultural prospects. Covering key topics such as farming, pests, soil, and weeds, this premier reference source is ideal for environmentalists, farmers, agriculturalists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.
About the Authors
Rajeev Kumar Gupta is working as an Assistant Professor at Pandit Deendayal Energy University (An Autonomous Institution) Gandhinagar, Gujarat. He has completed his M.Tech and PhD from MANIT, Bhopal and is a recipient of the Best Young Researcher Award by RSRI in 2019. He has published more than 30 referred articles in various book chapters, conferences and international repute peer-reviewed journals of Elsevier, Springer, IEEE etc. He has a total of more than ten years of teaching experience. He is a life member of some of the reputed societies like CSI India, IAENG (Hongkong) etc. He has organized several STTP/FDP and taken several expert lectures at various institutes. He has supervised 20 M.Tech thesis and around 40 B.Tech projects in various domains. He is a TPC member and reviewer of several International Conferences. His area of interest includes Machine Learning, Deep Learning and Cloud computing.
Arti Jain is working as Assistant Professor (Sr. Grade) in the Department of Computer Science & Engineering and Information Technology, Jaypee Institute of Information Technology, Noida, Uttar Pradesh, India. She has 20+ years of academic experience. She is a Sr. Member of IEEE, member of IAENG, INSTICC, IFERP, and TERA. She is an editorial board member of several IGI Global journals. She is an International scientific committee member of International Conferences held in Turkey, Portugal, Maldives, and UAE. She has served as a reviewer of reputed and peer-reviewed International Journals and has guest-edited Special Issues. She is a PC member of many International Conferences and has Chaired Special Sessions. She is an invited speaker for various workshops, seminars, FDPs, and conferences affiliated with India, China, UK, and USA. She has published 02 books, and 35 research papers in indexed international journals, book chapters, and conferences. She is supervising 2 Ph.D. candidates. Her research interests include natural language processing, machine learning, data science, deep learning, social media analytics, soft computing, big data, and data mining.
John Wang is a professor in the Department of Information Management and Business Analytics at Montclair State University, USA. Having received a scholarship award, he came to the USA and completed his PhD in operations research from Temple University. Due to his extraordinary contributions beyond a tenured full professor, Dr. Wang has been honored with two special range adjustments in 2006 and 2009, respectively. He has published over 100 refereed papers and seventeen books. He has also developed several computer software programs based on his research findings. He serves as Editor-in-Chief for ten Scopus-indexed journals, such as Int. J. of Business Analytics, Int. J. of Information Systems and Supply Chain Management, Int. J. of Information Systems in the Service Sector, Int. J. of Applied Management, Int. J. of Information and Decision Sciences, Int. J. of Data Mining, Modelling and Management, etc. He is the Editor of Encyclopedia of Business Analytics and Optimization (five volumes), Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications (six-volume) and the Editor of the Encyclopedia of Data Warehousing and Mining, 1st (two-volume) and 2nd (four-volume). His long-term research goal is on the synergy of operations research, data mining and cybernetics.
Santosh Kumar Bharti has awarded his Ph.D. (CSE) from the National Institute of Technology Rourkela India in 2019. He has a remarkable journey of 10 years as an active researcher, teacher, and collaborator. Currently, he is working as an Assistant Professor in the Department of Computer Science and Engineering at the School of Technology of Pandit Deendayal Energy University, Gandhinagar Gujarat. He has actively contributed to the field of Natural Language Processing: Sentiment analysis, Sarcasm Detection, Text Summarization, etc. Currently, he is supervising 2 Ph.D. students in this domain. He has published more than 50 research papers in top venues of various well-known publishers such as IEEE, ACM, Elsevier, and Springer. Moreover, he has published a few books (Edited/Text Book) and book chapters as well to his credit. With his expertise, he has delivered more than 05 expert talks across India at various institutions. He has also served as a reviewer and a session chair at conferences of IEEE, ACM, Springer, etc. He is a senior IEEE member, professional ACM member and CSI Life member.
Samir B. Patel obtained his Ph.D. Degree from Nirma University in Computer Engineering in the month of October, 2012. He has published more than 18 papers of National and International Repute. He is author of one book. Before joining PDEU, he has worked as Principal, GMFE, Sr. Associate Professor at Nirma University, Assistant Prof., Senior Lecturer at AESICS and before that as lecturer and programmer cum lecturer at CPICA and PDPICA. He has total 23 years of teaching and administrative experience. He is reviewer of various Journals of repute and is a life member of Computer Society of India and ISTE. His area of interest includes, Big Data Analytics, Data Mining and Parallel computing.
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