Smart Monitoring System for Zea Mays L Cultivation Based Internet of Things (IoT)

Zea Mays L (madurese corn) cultivation is highly encouraged for farmer in Indonesia, especially in the East Java area. This is because the demand for corn in Indonesia is still very high. It is hoped that Indonesia can meet the needs of this corn to reduce exports from other countries. The use of technology in agriculture has been widely applied but unfortunately the application for corn farming is still lacking. One of the technologies is IoT-based smart farming, but the application of smart farming is still being implemented for all types of plants. Whereas the real condition of each plant has specific variables to grow optimally. This study aims to conduct research on the development of smart corn farming using the Internet of Things (IoT). In order for the harvest to get maximum quality, several variables must be monitored. Some that must be monitored are air temperature variables, soil acidity (pH), and the intensity of sunlight. The data from the sensor is sent to the raspberry then the data is sent to the server, then the farmer can monitor these variables in real time. Based on the results obtained, the measurement results of the air temperature variables, soil acidity (pH), and the intensity of sunlight can be monitored properly. If there are variables that do not meet the needs, the farmer can make decisions according to the conditions needed by the plant. The implementation of the system shows that this system is effective for farmers in real-time monitoring.