Automatic Drone Flight Algorithm for Precision Agricultural Forecasting Based on Cadastral Map 


Vol. 43,  No. 9, pp. 1461-1468, Sep.  2018
10.7840/kics.2018.43.9.1461


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  Abstract

Currently, drones are widely deployed in precision farming area. Since Korean farming land is divided into small-sized terrains which have complicated polygon shapes, it is difficult to set up the optimal flight path. In this paper, we present development of automatic drone flight algorithm based on the Kakao MAP and the continuous cadastral information of the public data portal of Government 3.0 and its implementation on a drone provided by Da-Jiang Innovations (DJI). The DJI drone controller is based on Android and Google map. Whereas, when we utilized the Kakao map, development of interface function was requested to support interoperability between the two different system environments. The function was developed and proper working of the algorithm was verified by field tests.

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  Cite this article

[IEEE Style]

H. Lee and Y. Choo, "Automatic Drone Flight Algorithm for Precision Agricultural Forecasting Based on Cadastral Map," The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 9, pp. 1461-1468, 2018. DOI: 10.7840/kics.2018.43.9.1461.

[ACM Style]

Ho-chul Lee and Young-yeol Choo. 2018. Automatic Drone Flight Algorithm for Precision Agricultural Forecasting Based on Cadastral Map. The Journal of Korean Institute of Communications and Information Sciences, 43, 9, (2018), 1461-1468. DOI: 10.7840/kics.2018.43.9.1461.

[KICS Style]

Ho-chul Lee and Young-yeol Choo, "Automatic Drone Flight Algorithm for Precision Agricultural Forecasting Based on Cadastral Map," The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 9, pp. 1461-1468, 9. 2018. (https://doi.org/10.7840/kics.2018.43.9.1461)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880