TY  - BOOK
AU  - Cagat, Andra Camille B...et.al.
TI  - Development of Iot-based and controlled environment nursery for improved germination and growth of garlic / 
PY  - 2024///
CY  - City of Batac
PB  - MMSU, 
N1  - UTHESIS (Bachelor of Science in Computer Engineering); Bibliography: leaves 56-65
N2  - Garlic 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
ER  -