Zainal Arief, -
Rancang Bangun Sistem Pemantauan dan Penyiraman Pintar
Tanaman Cabai Pada Greenhouse Menggunakan
Fuzzy Mamdani Berbasis Blynk IoT.
https://ejournal.uksw.edu/aiti.
Abstract
One of the leading horticultural commodities cultivated by farmers is chilli. However, chilli
farmers often experience problems in monitoring soil moisture levels and also environmental
air temperature. From this case, it can affect the growth of chilli plants which has an impact
on crop failure. Therefore, to be able to overcome these problems, this research develops
Mamdani fuzzy logic to build an intelligent system that can automatically monitor and water
chilli plants. In this research, the impact of the use of sensors and system impact treatment on
chilli plants will be tested and compared with plants that do not use the system. The results of
this study show that the smart monitoring and watering system can function properly and
maximise the condition of the plant media compared to those that do not use the system. The
system can control soil moisture levels with an average error of 3.73% and air temperature
with an average error of 1.03%. The results of the system by comparing plants that do not use
the system combined with greenhouses can protect plants from extreme weather such as heat,
rain, pests, and lack of wild plant growth, so that plants look lush, lush, and grow quickly so
as to minimise farmer crop failure. And make it easier for farmers to be able to monitor using
the Blynk IoT application.
Keywords: Chili, Fuzzy Mamdani, Smart Irrigation, Blynk IoT.
Actions (login required)
 |
View Item |
