000			03168nam a22003377a 4500
003			OSt
005			20250714183510.0
008			250714b |||||||| |||| 00| 0 eng d
040			_aTUPM _bEnglish _cTUPM _dTUPM _erda
050			_aBTH TK 870 _bA33 2025
100			_aAganan, Mark Neil L. _eauthor
245			_aDevelopment of automated solar powered irrigation and soil nutrient monitoring system for carbon farming practice/ _cMark Niel L. Aganan, Kayzel Anne R. Banquil, Francin Rossi A. Cruz, Vince Kyle C. Faeldan, Darhiel Josef A. Garra, and Khiane Louise B. Ruego.--
260			_aManila: _bTechnological University of the Philippines, _c2025.
300			_axiii, 209pages: _c29cm.
336			_2rdacontent
337			_2rdamedia
338			_2rdacarrier
500			_aBachelor's thesis
502			_aCollege of Engineering.-- _bBachelor of science in electronics engineering: _cTechnological University of the Philippines, _d2025.
504			_aIncludes bibliographic references and index.
520			_aDeclining 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.
650			_aAutomated irrigation
650			_aSoil nutrient monitoring
650			_aCarbon farming system
700			_aBanquil, Kayzel Anne R. _eauthor
700			_aCruz, Francin Rossi A. _eauthor
700			_aFaeldan, Vince Kyle C. _eauthor
700			_aGarra, Darhiel Josef A. _eauthor
700			_aRuego, Khiane Louise B. _eauthor
942			_2lcc _cBTH COE _n0
999			_c30339 _d30339