DEVELOPING OF AUTOMATIC FERTILIZER CONTROL SYSTEM IN SOYBEAN PLANT BASED ON INTERNET OF THINGS AND LORA NETWORKS
Abstract
This research is developing the analog value from the NPK sensor to digital using the YL 38 comparator module to obtain detailed Nitrogen (N), Phosphorus (P), and potassium (K) values according to the NPK sensor datasheet. This system is a network based on the Internet of Things (IoT) and LoRa. The IoT and LoRa features installed on this device, meanwhile the measurement and fertilization data can be monitored easily through an Android application. This research using a frequency of 922.4 Mhz, 125 kHz bandwidth, 10 spreading factors, and a code rate of 5. The Network Quality of Services testing i.e. delay, packet loss, SNR, and RSSI. The QoS was measured at 6 locations. different, 1 location 0 km, 4 locations 1 km, 1 location 2.5 km from BTS LoRa. It was concluded that the parameters used are by the conditions and distances in the data collection. It is proven that all the standards in each parameter are met. In testing the LoRa network it can be concluded that the farther the distance from the LoRa BTS the data transmission quality is getting worse.References
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