Open Access
Issue
E3S Web Conf.
Volume 661, 2025
The 18th Thai Society of Agricultural Engineering International Conference “Climate Resilient Agriculture for Asia” (TSAE 2025)
Article Number 03004
Number of page(s) 7
Section Computers and Electronics in Agricultural Engineering
DOI https://doi.org/10.1051/e3sconf/202566103004
Published online 13 November 2025
  1. S.M. Iqbal, M. Shafie, M.R. Islam, Estimation of size and shape of citrus fruits using image processing for automatic grading. Proc. 3rd Int. Conf. Signal Process. Commun. Netw. (ICSCN), 1-8 (2015). https://doi.org/10.xxxxx/icscn.2015.01 [Google Scholar]
  2. G.V. Venkatesh, K. Kiran, S. Arulmozhiselvan, Estimation of volume and mass of axi-symmetric fruits using image processing technique. Int. J. Food Prop. 18, 608-626 (2015). https://doi.org/10.1080/10942912.2014.882115 [Google Scholar]
  3. C.S. Nandi, B. Tudu, C. Koley, A machine vision technique for grading of harvested mangoes based on maturity and quality. IEEE Sens. J. 16(16), 6387-6396 (2016). https://doi.org/10.1109/JSEN.2016.2576645 [Google Scholar]
  4. H.M. Yuan, L. Zhang, J. Tang, Refining the estimation of kiwifruit size from linear fruit dimensions. Sci. Hortic. 262, 108878 (2020). https://doi.org/10.1016/j.scienta.2019.108878 [Google Scholar]
  5. F.S.A. Saad, M.N. Ishak, Z. Ahmad, Shape and weight grading of mangoes using visible imaging. *Comput. Electron. Agric. 115, 51-56 (2015). https://doi.org/10.1016/j.compag.2015.05.004 [Google Scholar]
  6. F.P. Kuhl, C.R. Giardina, Elliptic Fourier features of a closed contour. Comput. Graph. Image Process. 18(3), 236-258 (1982). https://doi.org/10.1016/0146-664X(82)90034-X [Google Scholar]
  7. B. Zheng, T. Huang, Mango grading system based on optimized convolutional neural network. Math. Probl. Eng. 2021, 2652487 (2021). https://doi.org/10.1155/2021/2652487 [Google Scholar]
  8. M.N. Wagimin, A.A. Rahman, M.N. Othman, Grading of mango fruits based on physical measurements. Proc. 3rd Int. Conf. Artif. Intell. Data Sci. (AiDAS), 115-119 (2022). https://doi.org/10.xxxxx/aidas.2022.115 [Google Scholar]
  9. A. Momin, M. Islam, Geometry-based mass grading of mango fruits using image processing. Inf. Process. Agric. 4(2), 1-12 (2017). https://doi.org/10.1016/j.inpa.2016.12.003 [Google Scholar]
  10. N. Otsu, A threshold selection method from gray-level histograms. IEEE Trans. Syst. Man Cybern. 9, 62-66 (1979). https://doi.org/10.1109/TSMC.1979.4310076 [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.