TY - GEN
T1 - Design Of Light Intensity and Soil Moisture Control System to Optimize Lettuce Growth Indoors
AU - Aisyah, Putri Yeni
AU - Mujiyanti, Safira Firdaus
AU - Wulandari, Elsa Retno
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Indoor home gardening is an activity that is currently widely practiced in urban areas. This is due to the lack of land in urban areas so that many people in urban areas do farming activities with minimum space. Plants that are grown indoors certainly have many variables that need to be maintained such as sunlight and water needs. Therefore, in this final project, a system to control soil moisture and light intensity will be designed. The light intensity control system is done by controlling the dim light of the LED strip using an automatic dimmer. Meanwhile, the soil moisture control system will use a pump to do automatic watering and a fan to dry the soil that is too wet. From the results of the research conducted, the average percentage error for the soil moisture sensor is 4.167% and the accuracy is 95.833%. As for the light intensity sensor, the error is 3.6% and the accuracy is 96.4%.
AB - Indoor home gardening is an activity that is currently widely practiced in urban areas. This is due to the lack of land in urban areas so that many people in urban areas do farming activities with minimum space. Plants that are grown indoors certainly have many variables that need to be maintained such as sunlight and water needs. Therefore, in this final project, a system to control soil moisture and light intensity will be designed. The light intensity control system is done by controlling the dim light of the LED strip using an automatic dimmer. Meanwhile, the soil moisture control system will use a pump to do automatic watering and a fan to dry the soil that is too wet. From the results of the research conducted, the average percentage error for the soil moisture sensor is 4.167% and the accuracy is 95.833%. As for the light intensity sensor, the error is 3.6% and the accuracy is 96.4%.
KW - Automatic Dimmer
KW - Automatic Watering
KW - Urban Area
UR - http://www.scopus.com/inward/record.url?scp=85186501126&partnerID=8YFLogxK
U2 - 10.1109/ICAMIMIA60881.2023.10427572
DO - 10.1109/ICAMIMIA60881.2023.10427572
M3 - Conference contribution
AN - SCOPUS:85186501126
T3 - 2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings
BT - 2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023
Y2 - 14 November 2023 through 15 November 2023
ER -
