CRC Press- Smart Technologies for Sustainable Agriculture: Integrating Ecological Practices with Computational Intelligence
SCOPE: This book is comprehensively designed to explore sustainable agricultural systems, focusing on the methods, tools, and practical applications that enhance ecological, social, and economic sustainability in recent agricultural practices and advancements. Smart technologies are revolutionizing sustainable agriculture by integrating ecological practices with advanced computational intelligence to optimize resource utilization, enhance productivity, and minimize environmental impact. The convergence of technologies such as the Internet of Things (IoT), machine learning, remote sensing, and robotics enables real-time monitoring and precision management of agricultural ecosystems. IoT devices collect high-resolution data on soil health, moisture levels, crop growth, and weather conditions, which are then analyzed using machine learning algorithms to generate predictive insights and data-driven decisions. These insights support precision irrigation, nutrient optimization, and timely pest and disease management, reducing dependency on chemical inputs and conserving natural resources. Moreover, ecological principles such as crop diversification, conservation tillage, and organic amendments are synergized with digital tools to maintain biodiversity and soil fertility. The integration of GIS and satellite imaging further enables landscape-scale monitoring for climate-resilient planning. Artificial intelligence enhances adaptive learning from multi-seasonal datasets, enabling the development of intelligent advisory systems for farmers. By embedding sustainability metrics into computational models, smart agriculture not only increases yield efficiency but also supports regenerative practices aligned with the Sustainable Development Goals (SDGs). This holistic approach fosters resilient agroecosystems capable of withstanding climate variability while ensuring long-term food security and ecological stewardship.
Table of Contents (Not limited to):
1. Concept and perception of sustainable agricultural systems
2. Theoretical frameworks of sustainable agriculture
3. Computational Intelligence techniques in sustainable agriculture
4. Agroecological practies
5. Climate-smart agriculture
6. Sustainable crop and livestock prediction using machine learning methods
7. Climate change adaptation and mitigation in agriculture
8. Predictive Modeling for precision agriculture using AI and data analytics
9. Neural networks in forecasting weather impacts on agriculture
10. Precision agriculture and digital tools
11. Biotechnologies for sustainable agriculture
12. Renewable energy in the agricultural sector
13. Sustainable water management tools
14. Machine learning-based climate resilience forecasting for sustainable
agriculture
15. Deep learning for automated crop health monitoring using remote sensing
16. Financing sustainable agriculture in Africa
17. Data analytics for enhancing agricultural supply chains and market access in Africa
18. Machine Learning Models for Optimizing Crop Productivity in Sub-Saharan Africa
19. Agricultural Innovation for Climate Resilience in Sub-Saharan Africa
20. Digital Platforms and Precision Agriculture in West Africa
21. Emerging trends and future technologies in sustainable agriculture
Important Dates:
Chapters Submission: Nov 30, 2025
Authors Notifications: Dec 15, 2025
Final Manuscript: Dec 30, 2025
Publication Approx: 2nd Quarter 2026
Submission:
Authors are invited to submit their full chapter by November 30, Manuscripts submitted for the book must be original, must not be previously published or currently under review anywhere. Submitted manuscripts should respect the standard guidelines of the CRC book chapter format. Manuscripts must be prepared using:
Guidelines for figure submission are as below:
Figures in image format minimum 300 dpi (EPS is preferred, or JPEG, or bitmap, or PPT, or PSD)
Line art figures in Image format minimum 600 dpi (EPS is preferred, also PPT, TIF or GIF or PNG)
Guideline for manuscript preparation is given below:
Chapters should contain between 18-30 pages. Manuscripts that do not follow the formatting rules will be rejected without review.
Prospective authors should send their manuscripts electronically through the submission link: https://docs.google.com/forms/d/e/1FAIpQLSdDfB3hmGaSqKBkVHvyj3opxhzM4oV47ExZJzoYLcOeLQ4CdA/viewform?usp=dialog
NOTE: There are no submission or acceptance fees for manuscripts submitted to this book for publication. All manuscripts are accepted based on a double-blind peer-review editorial process
The chapter, prior to submission, should be checked for plagiarism from licensed plagiarism software like Turnitin or iThenticate. The similarity of content should not exceed 10% (in any case, either self-sourced content or any).
Contact:
For questions regarding the book, please contact the Book Editor at: submissionbook51@gmail.com