Tomato Growth Rate Measurement System Using Image Processing 


Vol. 45,  No. 8, pp. 1460-1471, Aug.  2020
10.7840/kics.2020.45.8.1460


PDF
  Abstract

It is important to improve the quality of agriculturally produced crops. Smart Farm is an agricultural system that optimally maintains the growth environment of crops using information and communication technology (ICT). Using smart farms, time and labor can be reduced by increasing production and increasing quality. In this paper, we use a Image processing technique to measure the growth rate of tomato, and use this to build a system that automatically determines whether crops are growing correctly. The step of Tomato Growth Measurement System are using HSV color model to specify a color range, detecting the object through blurring and noise reduction, and the growth length is calculated from the detected objects. In addition, a number of experiments are conducted to find the optimum reference, which plays an important role in calculating the growth length. In the future, if the measurement system is further developed based on data acquired in various environments and crops, it will be a more robust measurement system in agricultural environments.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

K. Kim, Y. Hong, H. Kim, G. Kim, K. Kim, M. Lee, "Tomato Growth Rate Measurement System Using Image Processing," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 8, pp. 1460-1471, 2020. DOI: 10.7840/kics.2020.45.8.1460.

[ACM Style]

Kangsub Kim, Youngki Hong, Hyunjong Kim, Gookhwan Kim, Kyoungchul Kim, and Meonghun Lee. 2020. Tomato Growth Rate Measurement System Using Image Processing. The Journal of Korean Institute of Communications and Information Sciences, 45, 8, (2020), 1460-1471. DOI: 10.7840/kics.2020.45.8.1460.

[KICS Style]

Kangsub Kim, Youngki Hong, Hyunjong Kim, Gookhwan Kim, Kyoungchul Kim, Meonghun Lee, "Tomato Growth Rate Measurement System Using Image Processing," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 8, pp. 1460-1471, 8. 2020. (https://doi.org/10.7840/kics.2020.45.8.1460)

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880