A small boat for fish feeding

IF 3.6 2区农林科学 Q2 AGRICULTURAL ENGINEERING

Aquacultural Engineering Pub Date : 2023-11-01 DOI:10.1016/j.aquaeng.2023.102371

Mohamed Ali Ibrahim Al-Rajhi , Yasser Kamal Osman , Gomaa Galal Abd El-Wahhab , Khaled Abdeen Mousa Ali

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引用次数: 0

Abstract

This study focuses on development of a solar-powered Arduino Mega-driven robotic boat designed for efficient fish feeding in aquaculture. By integrating IoT technology and a mobile app, the project aims to reduce labor costs and improve feeding practices while addressing challenges associated with manual feeding, which previously failed to adequately cover the entire pond area. The research specifically centers on Nile tilapia production. Experimental results show that the robot emulates manual feeding with an average response time of 1.82 s for feeding initiation and 2.17 s for movement initiation. It efficiently distributes feed across a 4000 m² area in 9 min, outperforming the manual method, which takes 32 min. Fish fed by robotic boat exhibit an 18.71 % weight gain compared to those fed by hand. The robotic boat farm consumes a total of 11.480 kg of feed to produce 7.6 kg, while the hand-fed farm required 16.185 kg of feed to produce 6.5 kg. This results in feed conversion ratios of 1.51 and 2.49, respectively. The study finds an overall cost reduction of 46.13 % due to decreased labor hours. We strongly recommend adopting this robotic boat for optimizing tilapia feeding in earthen ponds.

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喂鱼用的小船

这项研究的重点是开发一种太阳能Arduino mega驱动的机器人船，用于水产养殖中高效的鱼类喂养。通过整合物联网技术和移动应用程序，该项目旨在降低人工成本，改善喂养方式，同时解决人工喂养带来的挑战，此前人工喂养无法充分覆盖整个池塘区域。这项研究特别关注尼罗罗非鱼的生产。实验结果表明，该机器人模拟人工进食，进食起始平均响应时间为1.82 s，运动起始平均响应时间为2.17 s。它在9分钟内有效地将饲料分配到4000平方米的区域，超过了人工喂食的32分钟。与人工喂食相比，机器人船喂鱼的体重增加了18.71%。机器人船农场总共消耗11.480公斤饲料来生产7.6公斤，而手工喂养农场需要16.185公斤饲料来生产6.5公斤。这使得饲料系数分别为1.51和2.49。研究发现，由于减少了劳动时间，总成本降低了46.13%。我们强烈建议采用这种机器人船来优化罗非鱼在土塘的饲养。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Aquacultural Engineering 农林科学-农业工程

CiteScore

8.60

自引率

10.00%

发文量

审稿时长

>24 weeks

期刊介绍： Aquacultural Engineering is concerned with the design and development of effective aquacultural systems for marine and freshwater facilities. The journal aims to apply the knowledge gained from basic research which potentially can be translated into commercial operations. Problems of scale-up and application of research data involve many parameters, both physical and biological, making it difficult to anticipate the interaction between the unit processes and the cultured animals. Aquacultural Engineering aims to develop this bioengineering interface for aquaculture and welcomes contributions in the following areas: – Engineering and design of aquaculture facilities – Engineering-based research studies – Construction experience and techniques – In-service experience, commissioning, operation – Materials selection and their uses – Quantification of biological data and constraints