IoT and Cloud Based Harmful Wildlife and Red Pepper Anthracnose Detection System 


Vol. 44,  No. 7, pp. 1391-1401, Jul.  2019
10.7840/kics.2019.44.7.1391


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  Abstract

In this paper, we propose the IoT and cloud system that detects harmful wild animals and red pepper anthracnose early and efficiently to minimize crop damage from them. This system employs the You Only Look Once (YOLO), which is an object recognition algorithm capable of real-time processing with superior recognition performance, and a navigation robot that moves farmland. Using the YOLO and navigation robot, the system promptly detects harmful animals and red pepper anthracnose and automatically takes appropriate actions according to the detected objects. In addition, by utilizing collected sensor data and weather information, the proposed system can predict the risk of occurrence of red pepper anthracnose and preemptively control the crop disease. Since this system is capable of recognizing voice commands, users can conveniently operate the system with voice commands on smartphones. To verify the performance of the proposed system, we implement the system and use the implemented system to evaluate the recognition rate of harmful animals and red pepper anthracnose, the voice command recognition rate and the risk prediction relevant to occurrence of red pepper anthracnose. From the experimental results, we demonstrate the superiority of the proposed system.

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  Cite this article

[IEEE Style]

J. Kim, S. Lee, S. Cho, C. Shin, "IoT and Cloud Based Harmful Wildlife and Red Pepper Anthracnose Detection System," The Journal of Korean Institute of Communications and Information Sciences, vol. 44, no. 7, pp. 1391-1401, 2019. DOI: 10.7840/kics.2019.44.7.1391.

[ACM Style]

Jae-young Kim, Soo-young Lee, Se-hyoung Cho, and Changyong Shin. 2019. IoT and Cloud Based Harmful Wildlife and Red Pepper Anthracnose Detection System. The Journal of Korean Institute of Communications and Information Sciences, 44, 7, (2019), 1391-1401. DOI: 10.7840/kics.2019.44.7.1391.

[KICS Style]

Jae-young Kim, Soo-young Lee, Se-hyoung Cho, Changyong Shin, "IoT and Cloud Based Harmful Wildlife and Red Pepper Anthracnose Detection System," The Journal of Korean Institute of Communications and Information Sciences, vol. 44, no. 7, pp. 1391-1401, 7. 2019. (https://doi.org/10.7840/kics.2019.44.7.1391)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880