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Artificial Intelligence and Smart Agriculture

Technology and Applications

  • Book
  • © 2024

Overview

Editors:
  1. Kusum Pandey

    1. Garhwal Regional Centre, G. B. Pant National Institute of Himalayan Environment, Srinagar, India

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  2. N. L. Kushwaha

    1. ICAR-Indian Agricultural Research Institute, New Delhi, India

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  3. Chaitanya B. Pande

    1. Indian Institute of Tropical Meteorology (IITM), Pune, India

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  4. K. G. Singh

    1. Punjab Agricultural University, Ludhiana, India

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  • Presents knowledge on smart farming and artificial intelligence in various parts of India and other regions
  • Covers diverse topics including natural resource management, precision agriculture, and sustainable development
  • Presents the role of technology, methods, and modeling used to facilitate adaptation of precision agriculture

Part of the book series: Advances in Geographical and Environmental Sciences (AGES)

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Table of contents (25 chapters)

  1. Front Matter

    Pages i-vii
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  2. Fundamentals of Smart Agriculture

    1. Front Matter

      Pages 1-1
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    2. Artificial Intelligence and Smart Farming: An Overview

      • Varsha Kanojia, A. Subeesh, N. L. Kushwaha
      Pages 3-22

    3. Remote Sensing in Precision Agriculture: Current Status and Applications

      • Dilip Kumar, Asit Kumar Pradhan, Rajni Jain, Vikas Kumar, Sneha Murmu, Ipsita Samal et al.
      Pages 23-41

    4. Revolutionizing Agriculture: Geospatial Technologies and Precision Farming in India

      • Wasim Ayub Bagwan
      Pages 43-59

    5. Assessment of Water Use Efficiency for Sustainable Water Management by Integration of Remote Sensing and Machine Learning

      • K. Krupavathi, M. Raghu Babu, A. Mani, P. R. K. Parasad, L. Edukondalu
      Pages 61-78

    6. Pathways for Intensified Agriculture Through Sustainable Water Management: Need of an Hour

      • Pooja Purushotham, G. Sahana, Gaurav Rakhonde, Namburi Karunakar Reddy, Anusha M. Nayak, K. M. Pravalika
      Pages 79-101

    7. Crop Yield Prediction Using Artificial Intelligence and Remote Sensing Methods

      • Rahul Banerjee, Bharti, Pankaj Das, Sadaf Khan
      Pages 103-117

  3. Technology, Tools and Techniques

    1. Front Matter

      Pages 119-119
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    2. Role of Artificial Intelligence in Revolutionizing Agricultural Technology

      • Ali Raza, Yongguang Hu, Siham Acharki, Noman Ali Buttar, Muhammad Zubair, Neyha Rubab Syed et al.
      Pages 121-145

    3. Weather Intelligence for Climate-Resilient Agriculture

      • V. A. Blessy, K. K. Shaheemath Suhara, Anu Varughese, M. R. Namitha, P. R. Anjitha Krishna, Ardra Wilson et al.
      Pages 147-173

    4. Big Data Analytics for Improved Weather Forecasting and Disaster Management

      • Gaurav Y. Rakhonde, Shalaka Ahale, Namburi Karunakar Reddy, Pooja Purushotham, Ananya Deshkar
      Pages 175-192

    5. Crop Monitoring System Integrating with Internet of Things and Artificial Intelligence

      • Asit Kumar Pradhan, Dilip Kumar, Himanshushekhar Chaurasia, Sneha Murmu, Ipsita Samal, Tanmaya Kumar Bhoi et al.
      Pages 193-208

    6. Soil Moisture and Temperature Management Using IoT for Sustainable Farming

      • P. Kannan, M. Mohamed Roshan Abu Firnass, Jay Bose, S. Ponmani, C. Swaminathan
      Pages 209-230

    7. Internet of Things-Enabled Irrigation Management System for Precision Agriculture

      • Siddharam, L. Aiswarya, Venkatesh Gaddikeri, G. M. Rajesh, Malkhan Singh Jatav, Jitendra Rajput
      Pages 231-250

    8. Unmanned Aerial Vehicles (UAV) for Smart Agriculture

      • R. Pungavi, C. Praveenkumar
      Pages 251-269

    9. IoT‐Enabled Unmanned Aerial Vehicle: An Emerging Trend in Precision Farming

      • Manish Yadav, B. B. Vashisht, Niharika Vullaganti, S. K. Jalota, S. L. Yadav, Gurjeet Singh et al.
      Pages 271-292

    10. Smart Irrigation Management Through Unmanned Aerial Vehicles (UAVs)

      • L. Aiswarya, Siddharam, G. M. Rajesh, Venkatesh Gaddikeri, Malkhan Singh Jatav, Jitendra Rajput et al.
      Pages 293-313

    11. Biotic Stress Management in Field Crops Using Artificial Intelligence Technologies

      • Shubham Anand, Sarabjot Kaur Sandhu
      Pages 315-335

    12. Soilless Cultivation: A Distinct Vision for Sustainable Agriculture

      • Alka Chaudhary, Shubham Anand
      Pages 337-368
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Keywords

About this book

As technology continues to saturate modern society, agriculture has started to adopt digital computing and data-driven innovations. This emergence of “smart” farming has led to various advancements in the field, including autonomous equipment and the collection of climate, livestock, and plant data. As connectivity and data management continue to revolutionize the farming industry, empirical research is required to understand these technological developments. This book explores the applications of various artificial intelligence techniques by identifying and describing technical, functional, and non-functional future technologies for smart farming and agriculture. The book also presents practical application opportunities for the resolution of real-world problems, including contributions from precision irrigation, greenhouse data, livestock monitoring, automation, IoT ecosystems for agriculture, cloud computing, mobile robots for precision agriculture, remote sensing applications, anddata mining. In addition, this book provides summary information about different soilless techniques such as hydroponics, aeroponics, and aquaponics, among others. This book is ideally designed for farmers, agriculturalists, product managers, farm holders, manufacturers, equipment suppliers, industrialists, governmental professionals, researchers, academicians, and students seeking current research on technological applications within agriculture and farming.

Editors and Affiliations

  • Garhwal Regional Centre, G. B. Pant National Institute of Himalayan Environment, Srinagar, India

    Kusum Pandey

  • ICAR-Indian Agricultural Research Institute, New Delhi, India

    N. L. Kushwaha

  • Indian Institute of Tropical Meteorology (IITM), Pune, India

    Chaitanya B. Pande

  • Punjab Agricultural University, Ludhiana, India

    K. G. Singh

About the editors

Dr. Kusum Pandey is currently working in a vibrant village programme. She has published more than 20 research papers and  book chapters in national and international journals.ewer She is a reviewer of many reputed journals of Springer, Elsevier and Taylor and Francis. Her research interests include Soilless cultivation, Precision agriculture, Organic farming, Natural resource management, Hydrological modelling, Climate change, Artificial intelligence and Water quality.

Er. N. L. Kushwaha is a scientist at the Indian Council of Agricultural Research (ICAR)-Indian Agricultural Research Institute (IARI) located in Pusa Campus, New Delhi, India. He has been involved in teaching and research at the institute for the past four years. Prior to joining IARI, he worked as an assistant agricultural engineer (AAE) at the National Seeds Corporation, Ltd. for over three years. During his time there, he specialized in exploring sensor-based irrigation systems such as central pivot irrigation systems for precise water application. He has authored 1 book, 10 book chapters, and 35 research papers in national and international journals. His research interests include AI in water resource management and planning, remote sensing, geographic information systems (GIS), climate change, watershed modeling and management.​

Dr. Chaitanya Pande is a GIS consultant at Primus Partners Private Limited, Delhi, India. He completed a Ph.D. in Environment Science from Sant Gadge Baba Amravati University, Amravati, and an M.Sc. in Geo-informatics from Amravati University in 2011.  He has more than 10 years of teaching, research, and industrial experience. He is a reviewer for several scientific journals of high international reputations with editorial board membership in the Journal of the American Agricultural and Biological Sciences. He has published 57 research papers, 1 textbook, 1 edited book, 19 conferences papers, and 5 book chapters with more than 830 citations. His research interests include Remote Sensing, GIS, Google Earth Engine, Machine learning, watershed management, hydrogeology, hydrological modeling, drought monitoring, land use and land cover analysis, groundwater quality, urban planning, hydro-geochemistry, groundwater modelling, geology, hyperspectral remote sensing, remote sensing and GIS application in natural resources management, watershed management, and environmental monitoring and assessment subjects.

Dr. K. G. Singh is a principal scientist at Punjab Agricultural University (PAU), Ludhiana, Punjab, India. He has 31 years of research experience in water resources management, micro irrigation, protected cultivation and computer simulation modeling. He has achieved wide international exposure by visiting many countries to participate in conferences and meetings or advanced trainings in net house designing. He has led 6 research projects as a principal investigator (PI) and co-PI. His scientific contributions to farmers are documented by the inclusion of his 10 recommendations in the Package of Practices of PAU in the field of protected cultivation, drip irrigation, mulch-laying machines, and soilless cultivation of vegetables in polyhouse and rooftop vegetable nutrition garden models. He has published more than 55 research papers in national and international journals. He is also credited with 1 book, 10 book chapters, 12 research bulletins, 23 popular articles, and 17 TV and radio talks.


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