Open AccessImprovement of Smart Farm by using IoT for Ornamental Fishes and Aquatic Animals Store
Author(s) -
Sumitra Nuameesri*,
Lap Poomhiran
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.c8962.019320
Subject(s) - ornamental plant , fish <actinopterygii> , quality (philosophy) , task (project management) , internet of things , control (management) , agriculture , event (particle physics) , computer science , water quality , business , fishery , ecology , computer security , engineering , biology , artificial intelligence , philosophy , physics , systems engineering , epistemology , quantum mechanics
Ornamental fishes and aquatic animals have long been popular pets that can be easily bought and maintained. In contrast, it is not an easy task for a store that sells or a farming farm. These fish need to be well-kept to survive before customers come to buy. But it is unlikely that these fish will be looked after thoroughly, especially the issue of water quality used in fish farming or store. IoT can help operators manage and maintain water quality automatically instead of a human. This paper proposes to develop and improve the aquarium system maintenance automatically by using IoT and sensors devices. The ESP32 board is used to control the aquarium system and sent the alert message which is related to the critical situation and event handling action to farmer or entrepreneur on social media in real-time monitoring. All data from sensors are kept in microSD and central server. User can config, adjust the threshold value, and control the aquarium system directly. The developed aquarium system has high efficiency with accuracy value at 98.75%. It helps and automatically improves the water quality for the ornamental fishes and aquatic animals at the stores and smart farms.