DESIGN AND IMPLEMENTATION OF ACQUISITION AND DATA CONTROL ON THE MONITORING SYSTEM OF PALM OIL PLANTATIONS
In this past decade, soil nutrition testing is carried out in the laboratory. Because of this test is carried out in the laboratory, this test takes 40-45 working days to obtain the appropriate fertilizer recommendation. Daemeter is an IoT system designed to monitor the condition of soil nutrient...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/50286 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | In this past decade, soil nutrition testing is carried out in the laboratory. Because
of this test is carried out in the laboratory, this test takes 40-45 working days to
obtain the appropriate fertilizer recommendation. Daemeter is an IoT system
designed to monitor the condition of soil nutrient parameters in oil palm
plantations. This system will be located in the oil palm plantation. The data that
will be obtained can be accessed on the user's android application for the
monitoring process and fertilizer recommendations. In this paper, we will discuss
the process of data acquisition and processing before sending it to the database.
Soil parameter data acquisition is measured using sensors in the form of sensors
N, P, K, pH, and soil moisture. The acquired data will be unparsed and checked for
errors in data retrieval. This system also will receive data from the server about the
sampling frequency of soil testing. The data from this server will be parsed to
determine the state of the device. The test results will be compared to the
specifications required in manufacturing this product. |
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