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), CSE at Jaypee Institute of Information Technology, Noida, India. She has academic experience of over eighteen years. She completed her Ph.D. (CSE) in 2019 at JIIT Noida. She is member of IEEE, INSTICC, IAENG, IASSE, IFERP, and Life Member of TERA. She has more than twenty research papers in peer-reviewed international journals, book chapters, and international conferences. She has supervised one M. Tech Thesis and around 100 B. Tech projects. Currently, she is supervising one Ph.D. candidate in the area of social network analysis. She is an editorial board member of the American Journal of Neural Networks and Applications. She has served as International advisory committee member of ICASETM-2020, Dubai and ICRTMDR-2020, Maldives. She is an outreach committee member of ICRAET 2021, India. She is also a reviewer of International Journals-Taylor & Francis, IGI Global, Wiley, TISA and Inderscience. She is a TPC member and reviewer of several International Conferences within India and abroad. She is a session organizer in ICICC 2020-2021, Springer. Her research interests include NLP, machine learning, deep learning, social media analysis, big data and data mining.
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