Paper Contents
Abstract
Fish farming, or aquaculture, is a profitable business with applications in food, medicine, and research industries, offering high protein sources from various fish types. Two main forms of fish farming are natural and artificial, with artificial farming evolving towards efficiency, productivity, and sustainability. Smart fish farming incorporates key components like the microcontrollers, utilizing sensors for real-time monitoring of water quality and feeding. Future advancements involve Artificial Intelligence (AI) and Machine Learning to optimize operations and reduce errors. Automation technology streamlines tasks such as feeding and waste management, reducing labor requirements and ensuring optimal conditions for fish welfare. The Smart Artificial Fish Farming and Maintenance (SAFF-M) project focuses on precision in aquaculture techniques, aiming to enhance fish growth, minimize investor stress, and improve product quality and quantity. These advancements in smart fish farming are revolutionizing the industry by integrating technology for more efficient and sustainable practices.
Copyright
Copyright © 2024 PREETHEP S. This is an open access article distributed under the Creative Commons Attribution License.
