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Sustainable Agriculture

Technologies, Application, and Practices

  • 1st Edition - October 1, 2026
  • Latest edition
  • Editor: Wasswa Shafik
  • Language: English

Sustainable Agriculture: Technologies, Application, and Practices provides readers with a foundational understanding of sustainable agriculture principles alongside the cuttin… Read more

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Description

Sustainable Agriculture: Technologies, Application, and Practices provides readers with a foundational understanding of sustainable agriculture principles alongside the cutting-edge capabilities of artificial intelligence. It addresses the urgent need for innovative solutions in farming by examining the technological landscape that will shape the future of agriculture. This includes precision farming, robotics, data analytics, and crop genetics, all of which are aimed at fostering more efficient and sustainable agricultural practices.

Structured into six well-organized sections, the book begins with foundational concepts of sustainability and the enabling technologies that support them. This includes in-depth discussions on the principles of sustainability, the role of technology in enhancing agricultural practices, and the socioeconomic impacts of sustainable farming. Subsequent chapters look into practical applications, showcasing how smart irrigation, crop monitoring, and supply chain optimization can significantly bolster sustainable operations. Each chapter provides case studies, and practical strategies to ensure a thorough understanding of how artificial intelligence can revolutionize sustainable agriculture.

This book serves as an essential resource for upper-level undergraduate and graduate students studying sustainable agriculture, agricultural technology, and environmental science. It is equally beneficial for researchers, practitioners, and professionals in the fields of agricultural innovation, environmental sustainability, and data analytics. It offers additional resources such as PowerPoint slides to support student learning and facilitate classroom discussions.

Key features

  • Examines the evolving landscape of sustainable agriculture, including its ecological, social, and economic dimensions
  • Introduces the intersection of sustainable agriculture with environmental conservation and community development
  • Covers the role of technological advancements in promoting sustainable agricultural practices and solving global food security challenges
  • Explores sustainable agriculture principles and AI advancements for students and professionals in agriculture and technology fields
  • Includes PowerPoint slides that enhance learning and facilitate classroom instruction, making complex concepts more accessible

Readership

Students in undergraduate courses on Sustainable Agriculture

Table of contents

Section 1. Foundations of Sustainable Agriculture and Enabling Technologies

1. The Concept of Sustainability

2. Overview of Sustainable Agriculture

3. The Role of Enabling Technologies in Agriculture

4. Environmental Sustainability in Context with Economic Development

5. Policies, Regulations, and Global Agendas

6. Socioeconomic Impacts of Sustainable Agriculture

Section 2. Enabling Technologies for Sustainable Agriculture

7. Precision Farming. Tools and Technology Integration

8. Robotics and Automation in Sustainable Agriculture This details the role of robotics and automation in agriculture, discussing the current improvements in robotic systems for tasks such as planting, harvesting, and crop tracking and their impact on labour savings and effectiveness.

9. Data Analytics for Crop Management

10. Advances in Crop Genetics and Biotechnology

11. Blockchain for Traceability in Agri-Supply Chains

12. Artificial Intelligence-Enabled Agriculture. Transforming Farming Practices for the Future

Section 3. Applications in Crop Management and Production for Sustainable Practices

13. Sustainable Water Management in Agriculture

14. Crop Monitoring and Disease Detection The focuses largely on innovations for crop health monitoring and disease

15. Supply Chain Optimization through Enabling Technologies

16. Sustainable Pest Control and Disease Management

17. Biotechnology and Genetic Engineering in Agriculture

18. Regenerative Agriculture. Soil Health and Biodiversity

19. Vertical Farming and Controlled Environment Agriculture

20. Plant Pest Control and Disease Management Using Biological Pesticides.

21. Agroecology and Organic Farming

Section 4. Sustainable Livestock and Aquaculture Practices

22. Integrating Livestock and Crop Systems

23. Sustainable Aquaculture Systems

24. Animal Welfare and Ethical Practices in Farming

25. Sustainable Livestock Farming

Section 5. Climate-Smart Agriculture

26. Innovative Solutions for Pest and Disease Control

27. Renewable Energy Solutions for Sustainable Farms

28. Carbon Sequestration and Climate-Smart Agriculture

29. Adapting Agriculture to Climate Change

Section 6. Future Trends and Global Perspectives

30. Emerging Trends in Agri-Tech and Innovations

31. Ethical and Environmental Considerations in Enabling Technologies for Sustainable Agriculture

32. Case Studies of Successful Enabling Technologies Implementation in Sustainable Agriculture

33. Future Trends and Innovations in Sustainable Agriculture

Product details

  • Edition: 1
  • Latest edition
  • Published: October 1, 2026
  • Language: English

About the editor

WS

Wasswa Shafik

Wasswa Shafik is the research lab head of Dig Connectivity Research Laboratory (DCRLab), Kampala, Uganda. He pursued his Ph.D. in Computer Science at the School of Digital Science, Universiti Brunei Darussalam, Brunei Darussalam. Master in information technology engineering –Communication and Computer Networks, Yazd University, Yazd, Islamic Republic of Iran. Bachelor in Information Technology Engineering with a minor in mathematics at Ndejje University, Uganda. Broadly interested in Artificial Intelligence, Machine Learning, and Smart Cities, his research focuses on developing principled computationally and statistically efficient models and algorithms for various machine learning problems in Smart Agriculture, Ecological Informatics, Computer Vision, AI-enabled IoTs/IoMTs, Cybersecurity and Privacy, and Smart Cities.
Affiliations and expertise
Research lab head of Dig Connectivity Research Laboratory (DCRLab), Kampala, Uganda