Developing of Automatic Fertilizer Control System in Soybean Plant Based on Internet of Things and LoRa Networks

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...

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Main Authors: Doan Perdana, Wahyu Rizal Panca Kusuma, Ibnu Alinursafa
Format: Article
Language:English
Published: Polish Academy of Sciences 2021-12-01
Series:International Journal of Electronics and Telecommunications
Subjects:
Online Access:https://journals.pan.pl/Content/121887/PDF/76_3188_Perdana_skl.pdf
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author Doan Perdana
Wahyu Rizal Panca Kusuma
Ibnu Alinursafa
author_facet Doan Perdana
Wahyu Rizal Panca Kusuma
Ibnu Alinursafa
author_sort Doan Perdana
collection DOAJ
description 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.
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spelling doaj.art-a1e6763232164c589ee8f6569c80724a2022-12-22T04:00:31ZengPolish Academy of SciencesInternational Journal of Electronics and Telecommunications2081-84912300-19332021-12-01vol. 67No 4549558https://doi.org/10.24425/ijet.2021.137845Developing of Automatic Fertilizer Control System in Soybean Plant Based on Internet of Things and LoRa NetworksDoan Perdana0Wahyu Rizal Panca Kusuma1Ibnu Alinursafa2Telkom University, IndonesiaTelkom University, IndonesiaPT Telkom Indonesia, IndonesiaThis 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.https://journals.pan.pl/Content/121887/PDF/76_3188_Perdana_skl.pdfnitrogenphosphoruspotassiumnpk sensorlorainternet of thingsantares lr-esp201
spellingShingle Doan Perdana
Wahyu Rizal Panca Kusuma
Ibnu Alinursafa
Developing of Automatic Fertilizer Control System in Soybean Plant Based on Internet of Things and LoRa Networks
International Journal of Electronics and Telecommunications
nitrogen
phosphorus
potassium
npk sensor
lora
internet of things
antares lr-esp201
title Developing of Automatic Fertilizer Control System in Soybean Plant Based on Internet of Things and LoRa Networks
title_full Developing of Automatic Fertilizer Control System in Soybean Plant Based on Internet of Things and LoRa Networks
title_fullStr Developing of Automatic Fertilizer Control System in Soybean Plant Based on Internet of Things and LoRa Networks
title_full_unstemmed Developing of Automatic Fertilizer Control System in Soybean Plant Based on Internet of Things and LoRa Networks
title_short Developing of Automatic Fertilizer Control System in Soybean Plant Based on Internet of Things and LoRa Networks
title_sort developing of automatic fertilizer control system in soybean plant based on internet of things and lora networks
topic nitrogen
phosphorus
potassium
npk sensor
lora
internet of things
antares lr-esp201
url https://journals.pan.pl/Content/121887/PDF/76_3188_Perdana_skl.pdf
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AT wahyurizalpancakusuma developingofautomaticfertilizercontrolsysteminsoybeanplantbasedoninternetofthingsandloranetworks
AT ibnualinursafa developingofautomaticfertilizercontrolsysteminsoybeanplantbasedoninternetofthingsandloranetworks