TY - GEN
T1 - Data-Driven LoRa Precision Agriculture as a Farm Monitoring Solution and Increasing Efficiency of Water Use and Consumption of NPK Fertilizer
AU - Gunawan, Hafiz Rayhan
AU - Rizaldi, Wafiq Azhar
AU - Putri, Nur Elisa
AU - Maulana, Danial Farros
AU - Wikarta, Alief
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2023
Y1 - 2023
N2 - The use of technology for agriculture is important where volatile agricultural growth conditions can be maximized by improving efficiency, one of which is engineering efficiency. By improving engineering efficiency, farmers are able to increase land productivity using minimum inputs and by utilizing technology. Some programs that have been offered there are still shortcomings that must be fixed. Therefore, it is necessary to make a tool which is able to help the efficiency of agriculture in Indonesia. One of the technologies that can help the effectiveness and increase of agricultural production of previous research is the concept of automatic monitoring and controller tools that use WiFi and Arduino systems but have not yet continued until application. In addition, the study has not yet reached the actual stage of application. Therefore, Data-Driven LoRa Precision Agriculture solution is needed that is able to monitor crops, control irrigation systems, and input fertilizer doses automatically. Research methods used in the manufacture of this tool are as follows: system identification and literature studies, model and system design, until tool testing. The results obtained from these tests include the temperature sensor, the value is 31–32°, the humidity sensor is 49%, while the distance test is 440 m, as well as the NPK sensor that works properly. The data sent from these sensors are obtained every 10 min the tool will only turn on for 2 s to send the data, then this tool can work for quite a long time because it does not consume a lot of battery power.
AB - The use of technology for agriculture is important where volatile agricultural growth conditions can be maximized by improving efficiency, one of which is engineering efficiency. By improving engineering efficiency, farmers are able to increase land productivity using minimum inputs and by utilizing technology. Some programs that have been offered there are still shortcomings that must be fixed. Therefore, it is necessary to make a tool which is able to help the efficiency of agriculture in Indonesia. One of the technologies that can help the effectiveness and increase of agricultural production of previous research is the concept of automatic monitoring and controller tools that use WiFi and Arduino systems but have not yet continued until application. In addition, the study has not yet reached the actual stage of application. Therefore, Data-Driven LoRa Precision Agriculture solution is needed that is able to monitor crops, control irrigation systems, and input fertilizer doses automatically. Research methods used in the manufacture of this tool are as follows: system identification and literature studies, model and system design, until tool testing. The results obtained from these tests include the temperature sensor, the value is 31–32°, the humidity sensor is 49%, while the distance test is 440 m, as well as the NPK sensor that works properly. The data sent from these sensors are obtained every 10 min the tool will only turn on for 2 s to send the data, then this tool can work for quite a long time because it does not consume a lot of battery power.
KW - Agriculture
KW - LoRa
KW - Sensor
UR - http://www.scopus.com/inward/record.url?scp=85137096610&partnerID=8YFLogxK
U2 - 10.1007/978-981-19-0867-5_44
DO - 10.1007/978-981-19-0867-5_44
M3 - Conference contribution
AN - SCOPUS:85137096610
SN - 9789811908668
T3 - Lecture Notes in Mechanical Engineering
SP - 369
EP - 376
BT - Recent Advances in Mechanical Engineering - Select Proceedings of ICOME 2021
A2 - Tolj, Ivan
A2 - Reddy, M.V.
A2 - Syaifudin, Achmad
PB - Springer Science and Business Media Deutschland GmbH
T2 - 5th International Conference on Mechanical Engineering, ICOME 2021
Y2 - 25 August 2021 through 26 August 2021
ER -