Application of Unmanned Aerial Vehicles (UAV) for Micro-Small and Medium Enterprises (MSMEs) Agricultural in West Java I Kadek Agus Sara Sawita (a*), Maria Evita (a), Hansel Kane (a), Fadhil Rausyanfikr (a) Mitra Djamal (a)
a) Department of Physics, Bandung Institute of Technology
Jalan Ganesha 10, Bandung 40132, Indonesia
* agussarasawita[at]gmail.com
Abstract
MSMEs in the agricultural sector are an integral part of the national economy which have an important and strategic position, potential and role in realizing strong national food security. In terms of sources of economic growth, the agricultural sector is the largest contributor to West Java^s economic growth in the first quarter of 2021. The contribution of the agricultural business sector was 0.94%, greater than the contribution of the fourth quarter of 2020 amounted to 0.39%. MSMEs still have external and internal constraints, especially in terms of financing, product marketing, and lack of access to information. These constraints often hinder MSMEs in developing their business and expanding their market share. From various cases of marketing of agricultural MSME products in West Java, it is necessary to assist/apply technology to market agricultural commodities. One of them is a map application, which is useful in providing information on the location of agricultural MSMEs and how to reach that location from the customer^s current location. So that sellers/farmers and buyers can do direct transactions. Therefore, application of Unmanned Aerial Vehicle (UAV) can be used as the alternative technology to solve that problem. While, this research only focus on generating the map. UAV - DJI Phantom 4 Pro has been used in this research to take images at each location of the sample locations. To control the UAV automatically for each mission, it used Pix4D capture flight plans. The data were processed by Agisoft Metashape Professional software. The location of image data collection was carried out in various areas: a building, an open space area and a real small and medium agriculture enterprises location. Two-dimensional maps and 3D maps of these areas have been successfully created. The average RMS error is 0.17 (2.88 pixels) indicated under 1% of the average error.
Keywords: agriculture, Micro-Small and Medium Enterprises, mapping, West Java, UAV
Topic: Instrumentation, Acoustics, and Signal Processing
