Learning Resource and Development

Arduino-based data logging system monitoring device for hydroponics farming / Sienna Buemia - Llamera

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Subject(s): Dissertation note: Masters Theses (ME) - Engineering. Camarines Sur Polytechnic Colleges, 2024 Abstract: The Arduino-Based Data Logging System Monitoring Device for Hydroponics Farming was a fusion of an Arduino Uno program, microcontroller, relay, RTC module, submersible water pump, LED grow light, sensor circuit, ESP32 data logger system, kilowatt meter, and a 220-volt power source for constructing data logging system. This research was conducted at Camarines Sur Polytechnic Colleges Graduate School during the First Semester School Year 2024-2025. This study presented the following: 1) Design and develop an Arduino-Based Data Logging System Monitoring Device for Hydroponic Farming; 2) Determine the level of acceptability of the device versus the conventional hydroponics system as to a) Weight during harvest b) Time of maturity; 3) Determine the significant difference in the acceptability of the Arduino based data logging system monitoring device for hydroponics farming against the conventional method of hydroponics; 4) Determine the energy consumption and economic viability of the developed monitoring device for hydroponics farming. The descriptive developmental research helped describe and analyze the data using the 3-point Likert Scale. The design of Arduino microcontrollers collects and logs data on various parameters critical to hydroponics farming, such as water levels, nutrient concentration, air temperature, and humidity. Using the system a weight gain of 54.4 grams against traditional methods having 18.5 grams showing a difference of 98.49%. Days of growing have 22 days for the Arduino-based system with 3.51 kilowatt-hours until harvest. The fresh weight, leaf count rate, and height growth rate are 23.83, 18.26, and 21.69, respectively. The economic viability showed an Initial Cost of Php 17,481.00 and energy consumption of Php 483.10 with 20% ROI. The study recommends an exploration of IoT for better performance of the system. The Arduino-Based Data Logging System Monitoring Device has a potential contribution to smart farming technologies for better productivity and reduced environmental impacts.
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Unpublished Materials Unpublished Materials Main Library Graduate School Library MTH ME L791a 2024 (Browse shelf(Opens below)) 1-1 Not for loan 006958UM

Masters Theses (ME) - Engineering. Camarines Sur Polytechnic Colleges, 2024

Includes bibliographic references.

The Arduino-Based Data Logging System Monitoring Device for Hydroponics Farming was a fusion of an Arduino Uno program, microcontroller, relay, RTC module, submersible water pump, LED grow light, sensor circuit, ESP32 data logger system, kilowatt meter, and a 220-volt power source for constructing data logging system. This research was conducted at Camarines Sur Polytechnic Colleges Graduate School during the First Semester School Year 2024-2025. This study presented the following: 1) Design and develop an Arduino-Based Data Logging System Monitoring Device for Hydroponic Farming; 2) Determine the level of acceptability of the device versus the conventional hydroponics system as to a) Weight during harvest b) Time of maturity; 3) Determine the significant difference in the acceptability of the Arduino based data logging system monitoring device for hydroponics farming against the conventional method of hydroponics; 4) Determine the energy consumption and economic viability of the developed monitoring device for hydroponics farming. The descriptive developmental research helped describe and analyze the data using the 3-point Likert Scale. The design of Arduino microcontrollers collects and logs data on various parameters critical to hydroponics farming, such as water levels, nutrient concentration, air temperature, and humidity. Using the system a weight gain of 54.4 grams against traditional methods having 18.5 grams showing a difference of 98.49%. Days of growing have 22 days for the Arduino-based system with 3.51 kilowatt-hours until harvest. The fresh weight, leaf count rate, and height growth rate are 23.83, 18.26, and 21.69, respectively. The economic viability showed an Initial Cost of Php 17,481.00 and energy consumption of Php 483.10 with 20% ROI. The study recommends an exploration of IoT for better performance of the system. The Arduino-Based Data Logging System Monitoring Device has a potential contribution to smart farming technologies for better productivity and reduced environmental impacts.

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