Smart Aquaponic Farming
An Intelligent Production System for Aquaponics
- 1st Edition - February 1, 2026
- Imprint: Academic Press
- Editor: Daoliang Li
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 2 8 9 4 5 - 3
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 2 8 9 4 6 - 0
Smart Aquaponic Farming: An Intelligent Production System for Aquaponics describes the aquaponics AI factory, an ecologically efficient and sustainable multitrophic produc… Read more
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Smart Aquaponic Farming: An Intelligent Production System for Aquaponics describes the aquaponics AI factory, an ecologically efficient and sustainable multitrophic production model. While traditional aquaculture systems produce farming waste with environmental and food safety implications, the aquaponics model offers a circular organic production method that recycles and reuses aquatic waste to expand the ecological planting scene. Given recent developments in intelligent sensing, information processing, and agricultural equipment technologies, this book provides a much-needed technical guide for industry scientists and technicians. Written by leading experts in aquaculture biosystems engineering, this book reviews technology assembly, system realization, and industrial development of intelligent aquaponics AI factory models. Early chapters introduce the concept of AI factory infrastructure before exploring recirculating aquaculture systems, hydroponic planting systems, and various control systems to maintain air quality, water quality, and fish nutrition. Concluding chapters discuss AI factory system integration, sustainability evaluation, and global case studies of proof-of-concept systems. Smart Aquaponic Farming provides in-depth conceptual analyses, technical overviews, and case presentations to demonstrate the characteristics, advantages, and significance of industrial scale-up for aquaponics. It bridges the gap in disseminated knowledge on analysis, design, and implementation of aquaponics AI factories, making it an indispensable resource for aquaponics producers, technicians, industry scientists, and academics alike.
- Analyzes aquaponic AI factory systems
- Discusses recirculating aquaculture systems and hydroponic planting systems
- Describes intelligent sensing technologies for industrial scale-up
- Summarizes methods for implementation and integration
- Demonstrates global proof-of-concept cases
Aquaponic producers, acquaculturists, hydroponic technicians, industry scientists in sustainable aquaculture
1. Introduction
2. Aquaponics Smart Farming Infrastructure System
3. Recirculating Aquaculture System
4. Hydroponic Planting System
5. Air Environment Control System
6. Fish Feeding and Fish Nutritional Systems
7. Equipment and Energy Control System
8. Microbial Regulatory System
9. Aquaponics Smart Farming Integration
10. Sustainability Evaluation of Aquaponics System
11. Worldwide Aquaponics Cases
2. Aquaponics Smart Farming Infrastructure System
3. Recirculating Aquaculture System
4. Hydroponic Planting System
5. Air Environment Control System
6. Fish Feeding and Fish Nutritional Systems
7. Equipment and Energy Control System
8. Microbial Regulatory System
9. Aquaponics Smart Farming Integration
10. Sustainability Evaluation of Aquaponics System
11. Worldwide Aquaponics Cases
- Edition: 1
- Published: February 1, 2026
- Imprint: Academic Press
- Language: English
DL
Daoliang Li
Dr. Daoliang Li is Professor of Agricultural Engineering at China Agricultural University and Director of the National Innovation Center for Digital Fishery, Key Laboratory of Smart Farming for Aquatic Animal and Livestock, Ministry of Agricultural and Rural Affairs. He has held visiting positions at the University of California, Davis (USA), University of Bedfordshire (UK), Wageningen University (Netherlands), and IOSB Fraunhofer (Germany). He obtained his BA from Shandong Agricultural University and PhD from China Agricultural University’s College of Engineering. Dr. Li’s research has mainly focused on intelligent information processing, smart sensors/instruments, and robots for aquaculture and fish farming. He is the founder and editor-in-chief of Elsevier’s International Journal of Information Processing in Agriculture and has published 12 books, including Water Quality Monitoring and Management (Academic Press, 2018).
Affiliations and expertise
College of Information and Electrical Engineering, China Agricultural University, China