1st Edition

Soil, Agriculture, and Ecosystem Modeling Smart Technologies for Sustainable Solutions

    318 Pages 12 Color & 5 B/W Illustrations
    by Apple Academic Press

    This new volume, Soil, Agriculture, and Ecosystem Modeling, explores and demonstrates soil, agriculture, and ecosystem modeling using artificial intelligence technologies for fostering smart sustainable agricultural practices. The volume takes into account the mechanisms of climate change as well as the challenges and hazards related to soil health, providing insight into long-term and sophisticated sustainable agriculture, crop protection and management, soil carbon sequestration, and ecology preservation.

    The authors believe that soil and ecosystem modeling is crucial for managing and comprehending ecological processes and should be required for all studies focusing on agriculture systems, environmental management, environmental sciences, and ecology. Offering an array of modeling strategies that include applications of machine learning, deep learning, and other AI methods, the book provides examples of agriculture and ecological modeling problems along with assignments (with answers). Each chapter ends with various tasks, but the greatest ones require students to create their own models based on issues they have posed and are particularly interested in solving.

    The book discusses how the use of machine learning strategies for computer vision algorithms is helping to improve productivity in agriculture by fostering the development of more accurate systems. The combination of computer vision and machine learning (ML) aids in the diagnosis of plant diseases and the monitoring of agricultural conditions, and assessment of environmental risks, both of which are important in preventing the loss of yield and quality as well as sustenance for the human population.

    The volume covers the fundamental concepts of soil agriculture and ecosystem modeling, "how to go modeling," and an overview of the numerous model types used for ecological modeling. The creation and use of the many model types in agriculture modeling are covered in depth in the book: environmental models, pathological models, agronomic models, and structurally dynamic models.

    This volume will be valuable to both established and budding agricultural researchers, soil scientists, and environmental scientists, as well as for students and faculty.

    1. State-of-the Art Modeling in Soil and Ecosystem Services under the Current Scenario

    Owais Bashir, Divya Sharma, Shabir Ahmad Bangroo, Nasir Bashir Naikoo, Nazir Ah Ganie, S. S. Kukal, Zahoor Ahmad Baba, Abdul Rouf Malik, Rehana Rasool, Shafeeq Ur Rehman, and Khalid Rehman Hakeem

    2. Predicting and Modeling of Soil Organic Carbon in Various Land Uses

    Nasir Bashir Naikoo, Owais Bashir, Shabir Ahmad Bangroo, Aamir Hassan Mir, M. Auyoub Bhat, Shakeel Ahmad Mir, Tauseef Ahmad Bhat, Shafeeq Ur Rehman, Khalid Rehman Hakeem, and Nasir Bashir Naikoo

    3. Modeling for Soil Processes, Soil Quality, and Soil Biodiversity from an Agricultural and Ecosystem Perspective

    Nasir Bashir Naikoo, Owais Bashir, Shabir Ahmad Bangroo, Nazir A. Ganie, Abdul Rouf Malik, Rehana Rasool, Burgish Bhat, Shafeeq Ur Rehman, and Khalid Rehman Hakeem

    4. Holistic Approach and New Assessment Techniques for Modeling Soil Erosion under Changing Climatic Conditions

    Nasir Bashir Naikoo, Owais Bashir, Shabir Ahmad Bangroo, Aamir Hassan Mir, M. Auyoub Bhat, Shakeel Ahmad Mir, Owais Bhat, Shafeeq Ur Rehman, and Khalid Rehman Hakeem

    5. Deep Learning-Based Approach for Disease Detection in the Changing Global Ecosystem

    Owais Bashir, Shabir Ahmad Bangroo, Nasir Bashir Naikoo, Nazir Ahmad Ganie, Zohra Shabir, Sheikh Asif, Razeef Mohd, Shafeeq Ur Rehman, Fazil Fayaz, Khalid Rehman Hakeem, and Owais Bashir

    6. Deep Learning Approach for Detecting, Classifying, and Managing Insect Pests of Various Crops

    Owais Bashir, Shabir Ahmad Bangroo, Nasir Bashir Naikoo, Nazir Ah Ganie, S. S. Kukal, Razeef Mohd, Deelak Amin, Sheikh Asif, Abdul Rouf Malik, Rehana Rasool, Shafeeq Ur Rehman, Khalid Rehman Hakeem, and Owais Bashir

    7. A Systemic Machine Learning Approach for Fruit Yield Estimation under Changing Global Climatic Conditions

    Owais Bashir, Shabir Ahmad Bangroo, Nasir Bashir Naikoo, Nazir Ahmad Ganie, S. S. Kukal, Razeef Mohd, Asmat Ara, Rana Afreen, Rehana Javid, Abdul Rouf Malik, Ghulam Hassan, and Haseeb Ah. Khalid Rehman Hakeem

    8. Current Trends and Future Perspectives for Modeling Agronomic Crops and Improving Intercropping in Climate Change Scenarios: A Review

    Owais Bashir, Shabir Ahmad Bangroo, Nasir Bashir Naikoo, Nazir A. Ganie, S. S. Kukal, Mir Waseema Jehaan, Rehana Mohiuddin, Zahida Rashid, Tanveer Ah, Shafeeq Ur Rehman, and Khalid Rehman Hakeem

    9. Novel Disruptive Technology Innovations for Smart Sustainable Agricultural Practices

    Razeef Mohd., Abeena Mohiuddin, Nazir Ah Ganie, Owais Bashir, and Khalid Rehman Hakeem


    Owais Bashir, PhD, is presently working in the Department of Soil Science at Sher-e-Kashmir University of Agricultural Sciences and Technology, Kashmir, India. Dr. Bashir has been involved in research for the past five years on soil pedology, climate change, machine learning, and soil health. He has authored more than 10 research articles, two book chapters, and one book with international publishers. Dr. Bashir has presented and participated in numerous state, national, and international conferences, seminars, workshops, and symposiums. He has received many awards, appreciations, and recognition for his services to the science of soil analysis. He has served as an editorial board member and reviewer for reputed international journals. Currently, Dr. Bashir is experimenting with diverse capacities of soil health and climate change and its impact on plant health. He earned his doctorate at Sher-e-Kashmir University of Agricultural Sciences and Technology, Kashmir (Division of Soil Science).

    Khalid Rehman Hakeem, PhD, is Professor at King Abdulaziz University, Jeddah, Saudi Arabia. After completing his doctorate (botany, specialization in plant eco-physiology and molecular biology) from Jamia Hamdard, New Delhi, India, he worked as a lecturer at the University of Kashmir, Srinagar, India, and at Universiti Putra Malaysia, Selangor, Malaysia, where he was a Postdoctorate Fellow and Fellow Researcher (Associate Professor) for several years. Dr. Hakeem has more than 10 years of teaching and research experience in plant eco-physiology, biotechnology and molecular biology, medicinal plants, plant-microbe-soil interactions, as well as in environmental studies. He is the recipient of several fellowships at both national and international levels. He has served as a visiting scientist at Jinan University, Guangzhou, China. Currently, he is involved with several international research projects with various government organizations. To date, Dr. Hakeem has authored and edited more than 60 books with international publishers. He also has to his credit more than 115 research publications in peer-reviewed international journals and 55 book chapters in edited volumes. At present, Dr. Hakeem serves as an editorial board member and reviewer for several high-impact international scientific journals. He is included in the advisory board of Cambridge Scholars Publishing, UK. He is also a fellow of the Plantae Group of the American Society of Plant Biologists, and a member of the World Academy of Sciences, the International Society for Development and Sustainability (Japan), and the Asian Federation of Biotechnology (Korea).

    Surinder S. Kukal, PhD, has worked in the field of agricultural water management at Punjab Agricultural University, India. He has more than 350 research publications to his credit, including 150 peer-reviewed research papers in journals of international and national repute. He served as Professor of Soil Conservation, Additional Director of Research and Dean, Faculty of Agriculture at Punjab Agricultural University. Dr. Kukal has several awards and honors to his credit, the most prestigious being named Fellow of the National Academy of Agricultural Sciences; Fellow, Indian Society of Soil Science; Dr GS Khush Distinguished Professor Award; Honorary Member of the Watershed Management Society of Iran; and 12th International Congress Commemoration Award of the Indian Society of Soil Science. Dr. Kukal has been a Visiting Scientist at CSIRO, Australia, and has delivered and led lectures in countries that include USA, Australia, China, Thailand, Serbia, Singapore, and Pakistan. He is Associate Editor-in-Chief of the International Soil and Water Conservation Research. Dr. Kukal holds a PhD in Soil Physics and Water Management.

    Razeef Mohd, PhD, is currently working as a Machine Learning and Artificial Intelligence Expert at Sher-e-Kashmir University of Agriculture Sciences and Technology, Kashmir, (SKUAST-K), J&K, India. He has more than eight years of teaching and research experience. He is an active frontline researcher in machine learning and artificial intelligence. He has published many research papers in leading peer-reviewed international journals, SCI journals, and SCOPUS journals. He has also presented papers at IEEE conferences and science congresses. He has guided many students in their projects, mentoring them and nurturing their innovative and entrepreneurial potential and transforming them into start-up entrepreneurs. His areas of specialization are data mining, machine learning, artificial intelligence, software engineering, and cloud computing. He has a MCA (Gold Medalist), MPhil, and PhD in the field of Computer Sciences from the PG Department of Computer Sciences, University of Kashmir, Srinagar, J&K, India.