Fish farming monitoring system / Mohd Badrul Hisham Mohamid Salih

Fish Farming Monitoring System is developed for variety of users such as researchers, fish farmers and others in the area of water quality monitoring to acquire and monitor water quality parameters. Current system mostly used manual data collection and recording method. Thus, these systems are in...

Full description

Saved in:
Bibliographic Details
Main Author: Mohamid Salih, Mohd Badrul Hisham
Format: Student Project
Language:English
Published: Faculty of Information Technology and Quantitative Sciences 2004
Online Access:http://ir.uitm.edu.my/id/eprint/1693/1/PPd_MOHD%20BADRUL%20HISHAM%20M.SALIH%20CS%2004_5.pdf
http://ir.uitm.edu.my/id/eprint/1693/
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Fish Farming Monitoring System is developed for variety of users such as researchers, fish farmers and others in the area of water quality monitoring to acquire and monitor water quality parameters. Current system mostly used manual data collection and recording method. Thus, these systems are inefficient. Retrieving and storage becomes a problem for water quality related tasks. Beside that, manual sampling method is tedious, time consuming and error-prone. Basically, in this project, water quality related parameters such as pH, water temperature, and ammonia and dissolve oxygen. In this project artificial neural network is being used with the MATLAB function to identify the optimum water quality.