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IJIE
Accuracy and Reliability of Data in IoT System for Smart Agriculture
Nabilah Binti Omar 1 , Hushairi Bin Zen 1* , Nadia Nicole Anak Aldrin 1 , Waluyo 2 , Febrian Hadiatna 2
- Introduction
- Literature Review
- Methodology
- Conceptual Design and Design Flow
- Hardware
- Software
- Farm meter
- Results and Discussions
- ThingSpeak
- Blynk
From this system, farmers can monitor their crops remotely, collect data from their crop and ultimately use the data to determine a threshold value that can be used to design smart farming practices. It uses a microcontroller, such as an Arduino, and sensors to create a real-time monitoring system via the Internet to monitor water temperature, ultraviolet intensity, and water turbidity. The IoT-based smart garden with weather station system, which can be used to monitor plant growth daily and predict the probability of rainfall was presented in [11].
The system was equipped with sensors and actuators where it can be monitored and controlled using a smartphone. The sensors used in this system are DHT11 temperature and humidity sensor, LDR, soil moisture sensor and barometric pressure module sensor. Sensor values such as temperature, humidity and barometric pressure are compared with the online value.
By comparison, it is assumed that the sensors from this smart garden system are working accurately. The sensors collected data such as monitoring soil moisture, temperature and carbon dioxide from the farm. The data can be accessed through apps and any problem that arises, an alert is sent to the farmer.
To monitor the parameters, sensors are placed at two locations in the factory and divided into two groups. Sensors such as temperature sensor, humidity sensor and light sensor are used for this group. At the same time, all data is stored in the database and can be downloaded as a CSV file.
The DHT11 sensor uses a thermistor to sense the temperature and humidity module to measure humidity [18]. Blynk is an IoT platform that allows you to control, interact and monitor IoT devices such as Arduino, Raspberry Pi, ESP8266 and many more. Values like humidity, soil moisture, temperature and soil temperature are displayed in the "super graph" widget while the LDR value is shown in the "display value" widget.
All the sensors are calibrated and the accuracy of the values is compared with generic agricultural meter available as shown in Figure 5. The soil meter can measure three values such as soil moisture, light Lux level and pH value.
9 4.3 Data accuracy and reliability
Conclusions
This monitoring system used cheap sensor technology with Arduino Uno as microcontroller with open ware platform such as Blynk and ThingSpeak. The monitoring can be easily done using Blynk mobile application and ThingSpeak web applications. This monitoring system can help the farmer monitor their farm in real time and provide reliable data.
All the data collected and stored in the ThingSpeak database can be further used for data analysis.
Acknowledgement