Pampanga State Agricultural University

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Internet Of Things (Iot) Based Monitoring And Control System For Greenhouse [manuscript] / Evedes, Rhica Mae T.

By: Contributor(s): Material type: TextTextPublication details: Magalang, Pampanga : Pampanga State Agricultural University, April 2019.Description: x, 71 leaves ; 28 cm + 1 computer disc (4 3/4 in)Uniform titles:
  • INTERNET OF THINGS (IOT) BASED MONITORING AND CONTROL SYSTEM FOR GREENHOUSE"
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Item type Current library Collection Call number Status Barcode
Theses PSAU OLM Dissertation, Theses BS Info. Technology UT Ev9 2019 (Browse shelf(Opens below)) Not for loan UT13016

ABSTRACT Evedes, Rhica Mae T., De Jesus, Jessa C.,Garcia, Jonah S. Department of Computer Studies and Automation - College of Resource Engineering. Automation and Mechanization, Pampanga State Agricultural University, Magalang. Pampanga. April 2019 INTERNET OF THINGS ((OT) BASED MONITORING AND CONTROL SYSTEM FOR GREENHOUSE" Adviser: Mr. Eric D. Dungca The study entitled loT Based Monitoring and Control System for Greenhouse aimed to design and develop a system that could monitor the Greenhouse in Pampanga State Agricultural University (PSAU) Alternative Low Input Agricultural System Centre (ALIAS). The system providess an online access through the developed web application for the monitoring of the Greenhouse real time. The system also monitors the soil moisture, humidity and temperature. Interviews, intermet researchers and questionnaires were the instruments used by the researchers to gather relevant data and information. Digital temperature and Humidity Sensor, Soil Moisture Sensor, 1 Channel Relay, Wemos D1 Mini, Raspberry Pi 3 b+ and Solenoid valve were the hardware components used to develop the system. PHP MyAdmin was used to develop the web application for online monitoring of the Greenhouse. The researchers concluded that the developed system may benefit the staff of Pampanga State Agricultural University (PSAU) Altemative Low Input Agricuttural System Centre (ALIAS). The overall grand mean of the study was (3.70) which was interpreted as (Agee); the respondents agreed that the loT Based Monitoring and Control System for Greenhouse was reliable and helpful for the staff of ALIAS Centre.

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