Sistem Pemantauan Pertumbuhan Anggrek Berdasarkan Pengolahan Citra Digital

https://doi.org/10.22146/ijeis.77893

Magnolia Gina Ro'fataka Satriorini(1*), Raden Sumiharto(2), Roghib Muhammad Hujja(3)

(1) Program Studi Elektronika dan Instrumentasi, DIKE, FMIPA, UGM, Yogyakarta
(2) Departemen Ilmu Komputer dan Elektronika, FMIPA UGM, Yogyakarta
(3) Departemen Ilmu Komputer dan Elektronika, FMIPA UGM, Yogyakarta
(*) Corresponding Author

Abstract


Growth monitoring and plant protectionis the major aspect of horticulture because its productivity depends on the health of the plants. Manual direct measurement methods tend to be destructive  towards  observed  plants. In  this  research,  a  smart  non-contact  growth  monitoring system was implemented on a chamber with orchid plants asthe objectsobserved. The images of  the  orchids  were  taken  and  became  the  input  of  the  system  to  be  processed  to  estimate  the height of the plants.The contour of the orchid plant as the object was obtained and the height was calculated based on the highest and the lowest contour.The result shows that the developed system is proven to be capable of measuring orchid’s height in real-time  with  accuracy  more than  95,7%.  Thus,  this  system will  effectively  help  farmers  to improve  the  quality  and  the quantity of the plant’s productivity.

Keywords


Growth Monitoring; Horticulture;Orchid; Digital Image

Full Text:

PDF


References

Z. Zhou, R. Shi, Y. Zhang, X. Xing, and X. Jin, ‘Orchid conservation in China from 2000 to 2020: Achievements and perspectives’, Plant Divers., p. S2468265921000792, Jun. 2021, doi: 10.1016/j.pld.2021.06.003. W. Poonsri, ‘Effects of active and passive modified atmosphere packaging on biochemical properties of cut Dendrobium orchid flowers’, Heliyon, vol. 7, no. 6, p. e07197, Jun. 2021, doi: 10.1016/j.heliyon.2021.e07197. O. F. Almanac, ‘Orchids’, Old Farmer’s Almanac. https://www.almanac.com/plant/orchids (accessed May 22, 2021). A. K. Dey, M. Sharma, and M. R. Meshram, ‘Image Processing Based Leaf Rot Disease, Detection of Betel Vine (Piper BetleL.)’, Procedia Comput. Sci., vol. 85, pp. 748–754, 2016, doi: 10.1016/j.procs.2016.05.262. D. I. Patrício and R. Rieder, ‘Computer vision and artificial intelligence in precision agriculture for grain crops: A systematic review’, Comput. Electron. Agric., vol. 153, pp. 69–81, Oct. 2018, doi: 10.1016/j.compag.2018.08.001. S. V. Vv, G. E.A, S. V, and S. K.P, ‘A Complex Network Approach for Plant Growth Analysis using Images’, in 2019 International Conference on Communication and Signal Processing (ICCSP), Chennai, India, Apr. 2019, pp. 0249–0253. doi: 10.1109/ICCSP.2019.8698021. S. S. Chouhan, U. P. Singh, and S. Jain, ‘Applications of Computer Vision in Plant Pathology: A Survey’, Arch. Comput. Methods Eng., vol. 27, no. 2, pp. 611–632, Apr. 2020, doi: 10.1007/s11831-019-09324-0. S. Kumar, G. Chowdhary, V. Udutalapally, D. Das, and S. P. Mohanty, ‘gCrop: Internet-of-Leaf-Things (IoLT) for Monitoring of the Growth of Crops in Smart Agriculture’, in 2019 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS), Rourkela, India, Dec. 2019, pp. 53–56. doi: 10.1109/iSES47678.2019.00024. T. W. Saputra, R. E. Masithoh, and B. Achmad, ‘Development of Plant Growth Monitoring System Using Image Processing Techniques Based on Multiple Images’, in Proceeding of the 1st International Conference on Tropical Agriculture, A. Isnansetyo and T. R. Nuringtyas, Eds. Cham: Springer International Publishing, 2017, pp. 647–653. doi: 10.1007/978-3-319-60363-6_65. I. S. Akila, A. Sivakumar, and S. Swaminathan, ‘Automation in plant growth monitoring using high-precision image classification and virtual height measurement techniques’, in 2017 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), Coimbatore, Mar. 2017, pp. 1–4. doi: 10.1109/ICIIECS.2017.8275862. T.-T. Lin, T.-C. Lai, T.-Y. Liu, Y.-H. Yeh, C.-C. Liu, and W.-C. Chung, ‘An Automatic Vision-Based Plant Growth Measurement System for Leafy Vegetables’, p. 6. R. C. Gonzalez, R. E. Woods, and B. R. Masters, ‘Digital Image Processing, Third Edition’, J. Biomed. Opt., vol. 14, no. 2, p. 029901, 2009, doi: 10.1117/1.3115362.



DOI: https://doi.org/10.22146/ijeis.77893

Article Metrics

Abstract views : 1743 | views : 2356

Refbacks

  • There are currently no refbacks.


Bookmark and Share


Copyright (c) 2022 IJEIS (Indonesian Journal of Electronics and Instrumentation Systems)

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.


Copyright of :
IJEIS (Indonesian Journal of Electronics and Instrumentations Systems)
ISSN 2088-3714 (print); ISSN 2460-7681 (online)
is a scientific journal the results of Electronics
and Instrumentations Systems
A publication of IndoCEISS.
Gedung S1 Ruang 416 FMIPA UGM, Sekip Utara, Yogyakarta 55281
Fax: +62274 555133
email:ijeis.mipa@ugm.ac.id | http://jurnal.ugm.ac.id/ijeis


View My Stats1
View My Stats2