ISBN : 9780443189531
Author : Qamar Zaman
Publisher : Academic Press
Year : 2023
Language : English
Type : Book
Description : Cover image Title page Table of Contents Copyright Dedication List of contributors Foreword Preface List of abbreviations Chapter 1. Precision agriculture technology: a pathway toward sustainable agriculture 1.1. Introduction 1.2. Climate change, food security, and precision agriculture nexus 1.3. Agricultural resources management 1.4. Precision agriculture tools, techniques, and technologies 1.5. This book 1.6. Conclusions Chapter 2. Soil spatial variability and its management with precision agriculture 2.1. Introduction 2.2. Soil and crop variability 2.3. Precision agriculture 2.4. Conclusion Chapter 3. Geospatial technologies for the management of pest and disease in crops 3.1. Introduction and objectives 3.2. Brief review of literature 3.3. Precision in pest management 3.4. Overview of scouting 3.5. Integrated pest management (IPM) 3.6. Sensing systems for detection and monitoring of pests and disease 3.7. Spatially variable rate technology for spraying 3.8. Opportunities and challenges Chapter 4. Application of unmanned aerial vehicles in precision agriculture 4.1. Introduction 4.2. Types of UAVs 4.3. Recent advances in the UAV technology 4.4. Literature review 4.5. The UAV-based precision agriculture chemical spraying application 4.6. Artificial intelligence for UAVs 4.7. Challenges and limitations of UAV technology adoption 4.8. Conclusion Chapter 5. Applications of geospatial technologies for precision agriculture 5.1. Introduction 5.2. Management philosophy of PA 5.3. Enabling technologies of PA 5.4. State-of-the-art conceptual system 5.5. Perceptions of digital technologies 5.6. Conclusions Chapter 6. Precision irrigation: challenges and opportunities 6.1. Introduction 6.2. Irrigation application methods 6.3. Literature review 6.4. Existing tools and technologies for precision irrigation 6.5. Data acquisition tools 6.6. Challenges and opportunities 6.7. Conclusions Chapter 7. Variable rate technologies: development, adaptation, and opportunities in agriculture 7.1. Introduction 7.2. Variable rate technologies development 7.3. Adaption of precision agriculture techniques 7.4. Challenges for farmers and researchers 7.5. Future of variable rate technologies 7.6. Conclusions Chapter 8. Yield monitoring and mechanical harvesting of wild blueberries to improve farm profitability 8.1. Introduction 8.2. Factors affecting ripening of wild blueberry 8.3. Precision harvesting technologies 8.4. Factors affecting the mechanical harvesting 8.5. Fruit losses during harvesting 8.6. Conclusions Chapter 9. Artificial intelligence and deep learning applications for agriculture 9.1. Artificial intelligence, machine learning, and deep neural networks 9.2. Machine learning approaches 9.3. Deep neural network approaches 9.4. Machine learning applications in agriculture 9.5. Case study: deep neural networks for ripeness detection in wild blueberry 9.6. Applications in precision agriculture 9.7. Conclusions and future implications Chapter 10. Artificial neural modeling for precision agricultural water management practices 10.1. Introduction 10.2. Common machine learning problems 10.3. Common deep learning frameworks 10.4. Popular machine learning architectures 10.5. Machine learning model development steps 10.6. Application of machine learning in different hydrological fields 10.7. Ethical concerns and challenges in machine learning 10.8. A case study 10.9. Conclusion Chapter 11. Precision agriculture: making agriculture sustainable 11.1. Introduction 11.2. Methodology 11.3. Case study of PA adoption in Punjab, Pakistan 11.4. Evaluation of factors that hamper technology adoption in agriculture 11.5. Financial and commercial sustainability of precision agriculture 11.6. Social and economic impact of precision agriculture 11.7. Conclusion Chapter 12. Environment: role of precision agriculture technologies 12.1. Introduction 12.2. Environmental impacts of precision agriculture techniques 12.3. Potential climate change impacts 12.4. Challenges for farmers and researchers 12.5. Conclusions Chapter 13. Precision agriculture technologies: present adoption and future strategies 13.1. Introduction 13.2. The transformation from mechanized to precision agriculture technologies 13.3. Adoptability of precision agriculture technologies in the field 13.4. Case studies from developed and developing countries 13.5. Yield improvement and farm profitability through the adoption of PA technologies 13.6. Problem/issues in adoptability of precision technologies 13.7. Future prospects of technology adoption 13.8. Conclusions Glossary Index