Sustainable Agriculture
Technologies, Application, and Practices
- 1 Edición - 1 de octubre de 2026
- Última edición
- Editor: Wasswa Shafik
- Idioma: Inglés
Sustainable Agriculture: Technologies, Application, and Practices provides readers with a foundational understanding of sustainable agriculture principles alongside the cuttin… Leer más
Descripción
Descripción
Sustainable Agriculture: Technologies, Application, and Practices provides readers with a foundational understanding of sustainable agriculture principles alongside the cutting-edge capabilities of artificial intelligence. 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.
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.
Puntos claves
Puntos claves
- 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
De interès para
De interès para
Students in undergraduate courses on Sustainable Agriculture
Índice
Índice
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
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
Detalles del producto
Detalles del producto
- Edición: 1
- Última edición
- Publicado: 1 de octubre de 2026
- Idioma: Inglés
Sobre el editor
Sobre el 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.
Afiliaciones y experiencia
Research lab head of Dig Connectivity Research Laboratory (DCRLab), Kampala, Uganda