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All Journal Sinergi JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal FUSE-Teknik Elektro eProceedings of Engineering Jurnal INFOTEL
Andri Agustav Wirabudi
Telkom University
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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Journal : eProceedings of Engineering

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Design Autonomous Drone Control For Monitoring Tea Plantation Using Dynamic Programming and Kruskal Algorithm Andri Agustav Wirabudi; Rendy Munadi; Angga Rusdinar; Dadan Rohdiana; Dong Ho Lee
eProceedings of Engineering Vol 6, No 1 (2019): April 2019
Publisher : eProceedings of Engineering

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Abstract

AbstractIndonesia is a country with the largest tea producers in the world, with a very large area needed tools to be able to help monitor the area of tea plantations as a whole. Unmanned Aerial Vehicle (UAV) wash chosen as a solution for the monitoring proses. Optimum flight path calculation is needed in order to produce good quality images, and also it influence to power consumption. The algorithm proposed in this study is Dynamic Programming and Kruskal Algorithm. Implementing these two network algorithms is expected to find the optimal path in aerial photography. The experimental results showed that the algorithm produced the optimum path , and more efficient power consumption than conventional lines. Image data obtained during tea plantation monitoring produced high-quality images, with the accuracy of each map above 90% and the assumption of errors below 5%. Keywords—Unmanned Aerial Vehicle UAV, Monitoring, Dynamic Programming, Kruskal, Mapping.
Co-Authors Angga Rusdinar Asep Najjmurokhman Dadan Rohdiana Dong Ho Lee Heeji Han Nurwan Reza Fachrur Rozi Nurwan Reza Fachrurrozi Rendy Munadi Seandy Arandiant Rozano