Open Access
| Issue |
EPJ Web Conf.
Volume 344, 2025
AI-Integrated Physics, Technology, and Engineering Conference (AIPTEC 2025)
|
|
|---|---|---|
| Article Number | 01058 | |
| Number of page(s) | 7 | |
| Section | AI-Integrated Physics, Technology, and Engineering | |
| DOI | https://doi.org/10.1051/epjconf/202534401058 | |
| Published online | 22 December 2025 | |
- W. Sunanjaya, Final report on mentoring the sustainable food house area in Bali. Balai Pengkajian Teknologi Pertanian Bali (2015) [Google Scholar]
- S. Tursilawati, D. Damanhuri, S. Lestari, Test results of organic tomato yield. J Agric Sci. 12, 1, 95–102 (2016). https://doi.org/10.15740/HAS/IJAS/12.1/95-100 [Google Scholar]
- N. K. A. Tantri Yanti, Harvesting and post- harvesting of tomatoes to support sustainable food house models in Bandung. Balai Pengkajian Teknologi Pertanian Bali (2016) [Google Scholar]
- M. Hadi, Design of an automatic sorter prototype for office supply warehouse. J Electr Eng. 10, 3, 148–156 (2018) [Google Scholar]
- A. D. Br Tarigan, I. Setiono, Development of sorting system based on color and green with TCS230 sensor. Ind Eng Technol. 14, (2018) [Google Scholar]
- M. I. Sari,et al., Object sorting based on color using TCS3200 sensor. TELKA. 4, 2, 85–90 (2018). https://doi.org/10.15575/telka.v4n2.85-90 [Google Scholar]
- M. M. Yusuf,et al., Development of a sorting tool based on weight and color. J Electr Technol. 17, 5, 203–212 (2019) [Google Scholar]
- F. Handayani, Implementation of Naïve Bayes classifier in automatic classification of text reports. Electro Technol J. 7, 11, 43–50 (2015) [Google Scholar]
- H. K. Siradjuddin, Applying Naïve Bayes algorithm to predict soil fertility. J Agric Technol. 8, 1, 30–35 (2014) [Google Scholar]
- A. Haris, R. Nugraha, Sorting Manalagi apples using weight and color sensors based on microcontroller. PETIR J. 11, 1, (2018) [Google Scholar]
- I. Virgala,et al., Control of stepper motor by microcontroller. J Autom Control. 3, 3, 131–134 (2015) [Google Scholar]
- Rismiyati, A. S., CNN implementation for image- based salak sorting. In: Proc. 2nd Int Conf Sci Technol Comput (ICST) (2016) [Google Scholar]
- A. Wardhana, D. Nugroho, Stepper motor control using DRV8825 driver based on square wave signal from AVR microcontroller timer. J Electr Technol. 7, 1, 80–85 (2018). https://doi.org/10.25077/jnte.v7n1.530.2018 [Google Scholar]
- M. F. Maulana, Tomato sorting based on size and color using Naïve Bayes algorithm. Int J Agric Comput. 10, 42–50 (2021) [Google Scholar]
- F. Ramli, Application of Naïve Bayes classifier in fruit sorting systems. J Agric Technol. 9, 2, 123–134 (2020) [Google Scholar]
- D. Putri, Design of tomato sorting tools based on size and color using Naïve Bayes. Food Technol Eng J. 15, 178–185 (2017) [Google Scholar]
- R. Priantomo, Using Naïve Bayes algorithm for sorting agricultural products based on color and weight. Agric Mechanization J. 39, 4, 221–230 (2022) [Google Scholar]
- M. Aziz, A. Widodo, Decision support system for sorting agricultural products using Naïve Bayes. Indones J Comput Sci. 13, 1, 14–21 (2019) [Google Scholar]
- H. Kurniadi, Naïve Bayes application in classifying fruit quality. Sustain Agric Sci J. 18, 2, 90–96 (2020) [Google Scholar]
- A. Haris, R. Nugraha, Sorting Manalagi apples using weight and color sensors based on microcontroller. J Electron Control Syst. 9, 3, 80–86 (2020) [Google Scholar]
- L. Hou,et al., Tomato sorting system based on machine vision using deep learning techniques. Electronics. 13, 11, 2114 (2024). https://doi.org/10.3390/electronics13112114 [Google Scholar]
- M. Alzahrani,et al., Automated tomato defect detection using CNN feature extraction and machine learning classifiers. Processes. 13(1, 115 (2025). https://doi.org/10.3390/pr13010115 [Google Scholar]
- I. Nyalala,et al., Weight and volume estimation of single and occluded tomatoes using image processing. Int J Food Prop. 24, 1, 363–376 (2021). https://doi.org/10.1080/10942912.2021.1933024 [Google Scholar]
- D. Luo,et al., Quality detection and grading of peach fruit based on computer vision and machine learning. Front Plant Sci. 15, 1415095 (2024). https://doi.org/10.3389/fpls.2024.1415095 [Google Scholar]
- S. Ghazal,et al., Computer vision in smart agriculture and precision farming: A comprehensive review. Comput Electron Agric. 219, 108640 (2024) [Google Scholar]
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