Internet of things based humidity control and monitoring system

This study proposes smart monitoring by utilizing IoT in agriculture which aims to assist farmers in monitoring crops to reduce the risk of crop failure. In this research, researchers use quantitative methods to collect the data from Soil Moisture Sensor & DHT22 to read and write data that can be monitored on a cloud server or review data from .csv file to evaluate the risk. This monitoring system is made by using the Python programming language by utilizing the Raspberry Pi as a microprocessor. The results of this study are data acquisitions that are connected to the internet. The Data can be accessed on Thingspeak to show an indication and result of plants. Analog form, as well as a water indicator on soil moisture, are shown with colored alerts. Smart monitoring displays more accurate crop data so that farmers can prevent crops from drought. With this system concluded the risk of crop failure can be reduced and it can also increase agricultural productivity.