Spreading Factor of IoT-LoRa Effect for Future Smart Agriculture

Adi, Puput Dani Prasetyo and Mappadang, Agoestina and Wahid, Abdul and Luhriyani, Seni and Jefri, Riny Spreading Factor of IoT-LoRa Effect for Future Smart Agriculture. https://ieeexplore.ieee.org/document/9970235/authors. ISSN 22385636

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Abstract

Agricultural Technology continues to grow rapidly, development towards IoT is currently increasingly widespread with the use of WiFi modules such as ESP32, 8266, or Node32, using the Blink GUI that is already available on Google Play, and monitoring systems that are currently being carried out such as tomatoes, chilies, even rice fields such as rice and shallots and garlic are still conventional, especially locations close to settlements will be very vulnerable to water pollution, namely the presence of household waste that can pollute agricultural water; specifically, this paper focuses on the Spreading Factor of LoRa, which is found at several points in agricultural locations, and the impact generated by the server, whether there is attenuation or packet data loss that causes small throughput. Research results found that on the spreading factor 7, the occupied Bandwidth is 130,676 kHz, while in SF 12, the occupied Bandwidth is 123,323 kHz. Research hopes that agricultural yields can be increased more than the conventional method, at least in balance with this method.

Item Type:	Article
Divisions:	KOLEKSI KARYA ILMIAH UPT PERPUSTAKAAN UNM MENURUT FAKULTAS > KARYA ILMIAH DOSEN KARYA ILMIAH DOSEN
Depositing User:	RINY JEFRI
Date Deposited:	18 Jun 2023 09:40
Last Modified:	18 Jun 2023 09:40
URI:	http://eprints.unm.ac.id/id/eprint/30244

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