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A New Approach for an Intelligent Fish Feeder


Mohammed Alammar, Ali Al-Ataby and Waleed Al-Nuaimy
Abstract

Intelligent Fish Feeding has undergone significant transformation since its conception, hence, the importance of improving aquaculture as a result of the numerous benefits that accrue from its use. Fish breeding is a promising branch of farming, so creation of tools for automation of this area is quite relevant. Feeding on fish farms is the main component of the successful functioning of such business, however, this process requires an in-depth preparation as each species of fish has a different food culture, as well as various behaviors during nutrition. Moreover, when feeding fish, farmers must take into account the number, age, and size of the fish plus other factors. This paper describes the features and design of an Intelligent Fish Feeding which can solve the issue of uniform the distribution of food for all fish while maintaining the appropriate environment which eventually improves fish welfare. It begins with an overview of the technological changes that contributed to the development of the automated fish feeders, including the various design configuration improvements made on previous designs to upgrade the functionality. Moreover, the application of the automated feeding are explained, which can record fish feeding habits and determine the degree of their hunger, and, finally, to feed them. The Intelligent Fish Feeding estimates the wasted food amount in each feeding cycle which will be used to avoid over- or under-feeding. The paper further describes the proposed automated fish feeder design, encompassing the details of hardware components, software algorithms as well as fish database where various functionalists and features of the fish feeder are elaborated.

Volume 11 | 11-Special Issue

Pages: 585-591

DOI: 10.5373/JARDCS/V11SP11/20193070