Smart farm using wireless sensor network for data acquisition and power control distribution

This study presents the design and implementation of Smart Farming having independent power source from the Solar energy and Plant Chamber with controlled environment using Wireless Sensor Network (WSN). The uniqueness of this study from the other Smart Farming is having a self-sustainable energy wi...

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Main Author: Culibrina, Francisco B.
Format: text
Language:English
Published: Animo Repository 2018
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Online Access:https://animorepository.dlsu.edu.ph/etd_doctoral/537
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Institution: De La Salle University
Language: English
id oai:animorepository.dlsu.edu.ph:etd_doctoral-1536
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spelling oai:animorepository.dlsu.edu.ph:etd_doctoral-15362021-05-17T13:47:38Z Smart farm using wireless sensor network for data acquisition and power control distribution Culibrina, Francisco B. This study presents the design and implementation of Smart Farming having independent power source from the Solar energy and Plant Chamber with controlled environment using Wireless Sensor Network (WSN). The uniqueness of this study from the other Smart Farming is having a self-sustainable energy with an intelligent distribution of power for the whole system. The power sources support the following: irrigation system, environment control system, water source/reservoir system, wireless sensor network system and monitoring and control system. The Irrigation system used motor speed controller for Three Phase Motor with Variable Frequency Driver (VFD) for irrigation system of Smart Farming using Fuzzy Logic Algorithm program inside a Micro-Control Unit (MCU) environment. The desired motor speed controller is obtained using fuzzy inputs that consider three phenomenon such as: availability of energy within the system, reservoir water level and environment temperature. These fuzzy inputs are feedback data from the water reservoir level sensor (plant water requirements), environment/temperature sensor and current sensor. Different frequencies were used to test the controllers performance in real time undergoing different water level and power load variations. The temperature control consist of inside temperature sensor, outside temperature sensor, one exhaust fan, two blower fan and air-condition to give optimum temperature needed by the plant inside the plant chamber. It used wireless sensor network for real time monitoring and feedback. 2018-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_doctoral/537 Dissertations English Animo Repository Farm equipment Agricultural machinery Agricultural instruments Agricultural innovations Wireless sensor networks Engineering
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
language English
topic Farm equipment
Agricultural machinery
Agricultural instruments
Agricultural innovations
Wireless sensor networks
Engineering
spellingShingle Farm equipment
Agricultural machinery
Agricultural instruments
Agricultural innovations
Wireless sensor networks
Engineering
Culibrina, Francisco B.
Smart farm using wireless sensor network for data acquisition and power control distribution
description This study presents the design and implementation of Smart Farming having independent power source from the Solar energy and Plant Chamber with controlled environment using Wireless Sensor Network (WSN). The uniqueness of this study from the other Smart Farming is having a self-sustainable energy with an intelligent distribution of power for the whole system. The power sources support the following: irrigation system, environment control system, water source/reservoir system, wireless sensor network system and monitoring and control system. The Irrigation system used motor speed controller for Three Phase Motor with Variable Frequency Driver (VFD) for irrigation system of Smart Farming using Fuzzy Logic Algorithm program inside a Micro-Control Unit (MCU) environment. The desired motor speed controller is obtained using fuzzy inputs that consider three phenomenon such as: availability of energy within the system, reservoir water level and environment temperature. These fuzzy inputs are feedback data from the water reservoir level sensor (plant water requirements), environment/temperature sensor and current sensor. Different frequencies were used to test the controllers performance in real time undergoing different water level and power load variations. The temperature control consist of inside temperature sensor, outside temperature sensor, one exhaust fan, two blower fan and air-condition to give optimum temperature needed by the plant inside the plant chamber. It used wireless sensor network for real time monitoring and feedback.
format text
author Culibrina, Francisco B.
author_facet Culibrina, Francisco B.
author_sort Culibrina, Francisco B.
title Smart farm using wireless sensor network for data acquisition and power control distribution
title_short Smart farm using wireless sensor network for data acquisition and power control distribution
title_full Smart farm using wireless sensor network for data acquisition and power control distribution
title_fullStr Smart farm using wireless sensor network for data acquisition and power control distribution
title_full_unstemmed Smart farm using wireless sensor network for data acquisition and power control distribution
title_sort smart farm using wireless sensor network for data acquisition and power control distribution
publisher Animo Repository
publishDate 2018
url https://animorepository.dlsu.edu.ph/etd_doctoral/537
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