000 02265nam a22001817a 4500
003 OSt
005 20240919142111.0
008 240905b |||||||| |||| 00| 0 eng d
040 _aMMSU
_cULS
100 _aCagat, Andra Camille B...et.al.
245 _aDevelopment of Iot-based and controlled environment nursery for improved germination and growth of garlic /
_cAndra Camille B.Cagat, Regina Jane A. Garnace, Maria Rueden Mangaoil, Dexter John P. Perdido, Aean Gabrielle D.Tayawa, Jandel Jade T. Tejada
260 _aCity of Batac :
_bMMSU,
_c2024.
300 _axxvii, 99 leaves :
_c29 cm
500 _aUTHESIS (Bachelor of Science in Computer Engineering)
504 _aBibliography: leaves 56-65
520 _aGarlic cultivation faces challenges worldwide, including in the Philippines. Researchers developed an IoT-based system to optimize garlic germination by monitoring and controlling environmental factors using Raspberry Pi 4 and Esp32, along with temperature, humidity, and luminosity sensors. Data is communicated via MQTT to Ngrok for GUI-based control. The system was tested against traditional methods using three light intensity levels: high (6.4 to 7k lumens), medium (5.4k to 5.8k lumens), and low (5k to 5.2k lumens), simulating natural sunlight with a photoperiod of 10 hours. The study found no significant differences in plant height, color of leaves, or number of leaves across these light levels. Different light intensities affect garlic germination, with low intensity yielding the most germinated garlic (73.34%), followed by medium (71.67%), and high (70.00%), compared to the less effective traditional lighting, which had 35.83% germinated garlic. This suggests the 5k to 5.2k lumens range is optimal for garlic germination. Additionally, the IoT-based system showed significantly lower mortality rates: 26.66% at low intensity, 28.33% at medium, and 30.00% at high, compared to 64.17% with traditional methods. These statistically significant differences at the 5% level indicate consistently lower mortality rates with the IoT system across all light intensities, demonstrating its superiority in garlic germination. Optimal light intensity for germination was identified at 5k lumens.
942 _2lcc
_cTHEDIS
999 _c23478
_d23478