Analysis Of Sensor Accuracy On IoT Based Paddy Cropping Monitoring System

Woo, Ying Yee (2019) Analysis Of Sensor Accuracy On IoT Based Paddy Cropping Monitoring System. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

Nowadays, the high demand for rice is one of the issues facing globally. In order to increase the production of the rice, heavy manpower is needed to ensure the environmental parameters of the paddy filed are maintain at the optimum level. In the process of monitoring, some of the farmers will complete their daily job base on their experience. However, this may cause them suffer from financial loss and wasting of fertilizer. Thus, a monitoring system based on Arduino Uno as microcontroller was developed to overcome this problem. In this project, a long-range paddy cropping monitoring system based on Arduino Uno and LoRa was developed to monitor a real-time environmental information included surrounding temperature, air humidity, water level and pH value. This system performs the function to monitor the environmental parameters at multiple parts of the paddy field in real time. Then, the system interchanges the data between nodes through the network protocol provided by LoRa in the range of 2 kilometer and upload to the cloud database via GPRS module. When the environment parameters over the threshold value, a notification will send to the user in the form of SMS. In the other hand, analysis of sensor accuracy was study with implementation at Kalman filter technique to the system. Base on the experimental result, LoRa sender will provide a new reading of the environmental parameters every 5 seconds to the receiver and receiver will upload the reading to the IoT platform every 20 seconds. Besides, the Kalman filter technique has improved the accuracy of the temperature sensor with tolerance ±1% when compare to the actual reading. In conclusion, this monitoring system able to help user improve the production of the paddy field with less man power involve in practice work.

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