AI-driven aquaculture: A review of technological innovations and their sustainable impacts
The integration of artificial intelligence (AI) in aquaculture has been identified as a transformative force, enhancing various operational aspects from water quality management to genetic optimization. This review provides a comprehensive synthesis of recent advancements in AI applications within t...
Saved in:
| Main Authors: | Hang Yang, Qi Feng, Shibin Xia, Zhenbin Wu, Yi Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2025-09-01
|
| Series: | Artificial Intelligence in Agriculture |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2589721725000182 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Aquaculture research techniques in Nigeria: opportunities and challenges for sustainable aquaculture development
by: Ekemini M. Okon, et al.
Published: (2025-09-01) -
Application of the IMTA (Integrated Multi-Trophic Aquaculture) System in Freshwater, Brackish and Marine Aquaculture
by: Muhammad Hanif Azhar, et al.
Published: (2023-04-01) -
Editorial: Differentiating and defining “exposed” and “offshore” aquaculture and implications for aquaculture operation, management, costs, and policy
by: Bela H. Buck, et al.
Published: (2025-02-01) -
A Comprehensive Review of Quality of Aquaculture Services in Integrated Multi-Trophic Systems
by: Jorge A. Ruiz-Vanoye, et al.
Published: (2025-01-01) -
Aquaculture in Peru: Situation, Challenges and Prospects
by: Euler Dolores‐Salinas, et al.
Published: (2025-06-01)