Development of automated solar powered irrigation and soil nutrient monitoring system for carbon farming practice/ Mark Niel L. Aganan, Kayzel Anne R. Banquil, Francin Rossi A. Cruz, Vince Kyle C. Faeldan, Darhiel Josef A. Garra, and Khiane Louise B. Ruego.--

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Aganan, Mark Neil L [author]

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Material type: Text

TextPublication details: Manila: Technological University of the Philippines, 2025.Description: xiii, 209pages: 29cmContent type:

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BTH TK 870 A33 2025

Dissertation note: College of Engineering.-- Bachelor of science in electronics engineering: Technological University of the Philippines, 2025. Summary: Declining soil health, ineffective irrigation, and access to real-time data to enhance crop productivity are some of the challenges faced by smallholder farmers. To overcome that, this project originated development of automatic, solar based monitoring of soil moisture content in eggplants and automatic irrigation for its growth. The microcontroller (MCU) in the stack, an ESP32, is responsible for managing the sensors that will determine levels of nitrogen (N), phosphorus (P), potassium (K), pH, moisture, temperature, and CO2. Sensor data istransmitted wirelessly and saved on Google Firebase, and a mobile app called RevitaSoil tracks soil conditions and provides remote irrigation control. The system was tested over 15 weeks in eggplant plots subjected to two different farming conditions traditional and carbon farming. The carbon farming plots implemented techniques such as mulching and mushroom compost as well as the automated irrigation system. When the results were tallied, they found that the plots with the companion plants had up to 71% more soil carbon, better soil nutrient levels across the season, and better water by the time the season ended compared to traditional plots. The reliability of the system was validated by comparing sensor readings with commercial soil test kits, resulting in temperature and moisture measurements with less than 6% error. Powered by solar energy, the entire system is economical and feasible for off-grid or geographically isolated farms. The research demonstrates how the combination of smart sensors, renewable energy and environmentally friendly farming practices could give farmers better control over soil health and water use, boost productivity and reduce their environmental footprint.

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Item type	Current library	Shelving location	Call number	Copy number	Status	Date due	Barcode
Bachelor's Thesis COE	TUP Manila Library	Thesis Section-2nd floor	BTH TK 870 A33 2025 (Browse shelf(Opens below))	c.1.	Not for loan		BTH0006460

Bachelor's thesis

College of Engineering.-- Bachelor of science in electronics engineering: Technological University of the Philippines, 2025.

Includes bibliographic references and index.

Declining soil health, ineffective irrigation, and access to real-time data to enhance
crop productivity are some of the challenges faced by smallholder farmers. To overcome
that, this project originated development of automatic, solar based monitoring of soil
moisture content in eggplants and automatic irrigation for its growth. The microcontroller
(MCU) in the stack, an ESP32, is responsible for managing the sensors that will determine
levels of nitrogen (N), phosphorus (P), potassium (K), pH, moisture, temperature, and CO2.
Sensor data istransmitted wirelessly and saved on Google Firebase, and a mobile app called
RevitaSoil tracks soil conditions and provides remote irrigation control. The system was
tested over 15 weeks in eggplant plots subjected to two different farming conditions
traditional and carbon farming. The carbon farming plots implemented techniques such as
mulching and mushroom compost as well as the automated irrigation system. When the
results were tallied, they found that the plots with the companion plants had up to 71%
more soil carbon, better soil nutrient levels across the season, and better water by the time
the season ended compared to traditional plots. The reliability of the system was validated
by comparing sensor readings with commercial soil test kits, resulting in temperature and
moisture measurements with less than 6% error. Powered by solar energy, the entire system
is economical and feasible for off-grid or geographically isolated farms. The research
demonstrates how the combination of smart sensors, renewable energy and
environmentally friendly farming practices could give farmers better control over soil
health and water use, boost productivity and reduce their environmental footprint.

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