Drone simulation for agriculture and LoRa based approach

Authors

  • Puput Dani Prasetyo adi +62 81227103387 https://orcid.org/0000-0002-5402-8864
  • Novilda Elizabeth Mustamu Department of Agrotechnology, Faculty of Science and Technology, Labuhanbatu University;
  • Victor M.M. siregar Department of Computer Engineering, Politeknik Bisnis Indonesia
  • Volvo Sihombing Department of Computer Engineering, Faculty of Science and Technology, Labuhanbatu University;

DOI:

https://doi.org/10.31763/iota.v1i4.501

Keywords:

Automatic Spraying, drone, internet-server, monitoring, power consumption

Abstract

Spraying appropriately and regularly will help develop rice plants' growth and development to produce superior rice. These pesticides' spraying is sometimes uneven because of the vast land, limited human labor, and several other factors. that appropriate technology is needed that helps in the process of spraying rice pesticides using drones. Drones are deemed appropriate in spraying its advantages, among others, more effective, reducing the involvement of humans in work. Drones help track consistently and in detail the part of agricultural land that will be sprayed with pesticides, unlike humans. It is more automatic in monitoring, with the camera used on the drone can see the growth of rice plants directly and do recording or real-time connecting to the application server or IoT. Besides spraying pesticides, regular monitoring of plants can be done with drones. This study uses a UAV simulation for mapping the location of pesticide spraying, the results of contributions to large areas, and analysis of drone power consumption, which means allocating Drones to the area of land being managed.

Author Biography

Puput Dani Prasetyo adi, +62 81227103387

Puput Dani Prasetyo Adi received the Bachelor Degree in Informatic Engineering (S. Kom) from STMIK AKAKOM Yogyakarta in 2008, now, Universitas Teknologi Digital Indonesia (UTDI), Indonesia., Magister Engineering Degree (M.T) from Hasannudin University Makassar Indonesia in 2011., and Ph.D. degrees (Dr.Eng) from Kanazawa University, Japan, in 2020, he joined in Micro Electronics Laboratory (MeRL), Kanazawa University, Japan with Professor Akio Kitagawa, 2018-2020. In 2020, He is a Winners of Dean's Award Kanazawa University, Japan. Also in 2020, he received The Best Paper IEEE Conferences ICITACEE 2020 with the title paper 'Finger Robotic control use M5Stack board and MQTT Protocol based, currently, he is a Lecturer in University of Merdeka Malang East Java Indonesia, at Department of Electrical Engineering. The focus research is about Low Power Wide Area (LPWA) and Low Power Wide Area Network (LAWAN) use Long Range (Lora) Radio Frequency and another types of RF. Currently, the research focus on Agricultural and Healthcare IoT based.

Downloads

Published

2021-10-14

Issue

Vol. 1 No. 4 (2021): Volume 1 Issue 4, 2021 [November]

Section

Internet of Things