Precision Farming Model for Optimum Catfish Production

Afolabi Basit Bolaji¹, Apena Waliu Olalekan² and Ogunti Erastus Olanrewaju^2,

¹Electrical and Electronics Engineering, Federal University of Technology, Akure, Nigeria

²Computer Engineering, Federal University of Technology, Akure, Nigeria

Cite this paper:
Afolabi Basit Bolaji, Apena Waliu Olalekan and Ogunti Erastus Olanrewaju. Precision Farming Model for Optimum Catfish Production. American Journal of Electrical and Electronic Engineering. 2020; 8(2):51-59. doi: 10.12691/ajeee-8-2-2

Abstract

Fish farming has been identified as a great source of animal protein for the large percentage of the world population and Nigeria, a country with over 170million population is not left behind. The level of productivity of catfish farm is determined by production knowledge and skills, suboptimal stocking and overstocking, poor fish population control methods, low feeding rate, water temperature, water quality, and health status of the fishes under culture. Combination of these factors influence the ability to maintain ethically sound, productive, and environmental friendly production of fish. In other to achieve optimum production of catfish, a solution through the use of wireless sensors was deployed to address some of the problems of low yield. The approach used to track optimum temperature through the deployed wireless sensor and administer feed to the fish at that particular temperature of the day. The study shows that the deployed system helped the farmers to design a feeding pattern that supports optimum growth of fish under culture by achieving a lower Feed Conversion Ratio (FCR) of 0.62 in the experimental pond as against 0.67 in the control pond, the solution provide a platform through which farmers can have access to the status of the pond from anywhere in the world.

Keywords:
precision farming wireless sensor networks catfish android application

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