eProceedings of Engineering
Vol 6, No 1 (2019): April 2019

Design Autonomous Drone Control For Monitoring Tea Plantation Using Dynamic Programming and Kruskal Algorithm

Andri Agustav Wirabudi (Telkom University)
Rendy Munadi (Telkom University)
Angga Rusdinar (Telkom University)
Dadan Rohdiana (Indonesia Tea and Chinchona Research Insitute)
Dong Ho Lee (Hanbat University)

Article Info

Publish Date
01 Apr 2019

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.

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Journal Info
eProceedings of Engineering
Website

Abbrev

engineering

Publisher

Universitas Telkom

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

Description

Merupakan media publikasi karya ilmiah lulusan Universitas Telkom yang berisi tentang kajian teknik. Karya Tulis ilmiah yang diunggah akan melalui prosedur pemeriksaan (reviewer) dan approval pembimbing ...