Research on Tomato Flowers and Fruits Object Detection Model in Greenhouse Environment Using Deep Learning 


Vol. 46,  No. 11, pp. 2072-2077, Nov.  2021
10.7840/kics.2021.46.11.2072


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  Abstract

In agriculture, the quality of the crop is very important. Smart farm is an agricultural system that is useful for maintaining the optimal environment in all processes from cultivation to harvesting, improving the quality of crops, and reducing manpower waste through automation using information and communication technology. A data set was constructed by collecting image data of flowers and fruits, which are one of the growth indicators that affect the quality of tomato crops. Find a model. A data set is constructed by collecting image data of flowers and fruits, which are one of the growth indicators that affect the quality of tomato crops. Based on the constructed data set, we conduct an experiment to evaluate the tomato data set using an object detection model and find the optimal model. The mAP@0.50 of those models(SSD, Yolo V3 and V4. Yolo V4) showed the highest result with 92.82%. In the future, it will be possible to use this to find the location and number of tomato" flower, and to build a system that predicts the location and maturity of tomatoes fruit.

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  Cite this article

[IEEE Style]

D. Seo, K. Kim, M. Lee, K. Kwon, G. Kim, "Research on Tomato Flowers and Fruits Object Detection Model in Greenhouse Environment Using Deep Learning," The Journal of Korean Institute of Communications and Information Sciences, vol. 46, no. 11, pp. 2072-2077, 2021. DOI: 10.7840/kics.2021.46.11.2072.

[ACM Style]

Dasom Seo, Kyoung-Chul Kim, Meonghun Lee, Kyung-Do Kwon, and Gookhwan Kim. 2021. Research on Tomato Flowers and Fruits Object Detection Model in Greenhouse Environment Using Deep Learning. The Journal of Korean Institute of Communications and Information Sciences, 46, 11, (2021), 2072-2077. DOI: 10.7840/kics.2021.46.11.2072.

[KICS Style]

Dasom Seo, Kyoung-Chul Kim, Meonghun Lee, Kyung-Do Kwon, Gookhwan Kim, "Research on Tomato Flowers and Fruits Object Detection Model in Greenhouse Environment Using Deep Learning," The Journal of Korean Institute of Communications and Information Sciences, vol. 46, no. 11, pp. 2072-2077, 11. 2021. (https://doi.org/10.7840/kics.2021.46.11.2072)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880