Objective Tool for Chili Grading Using Convolutional Neural Network and Color Analysis
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-70917-4_30
Reference17 articles.
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2. Chomchalow, N.: Spice Production in Asia - An Overview * Spices in Asia (1996, unpublished)
3. Mariyono, J.: Marketing channels of chili in central java: players, levels, and segmentations. J. Econ. Bus. Account. Ventura 22, 167–176 (2019). https://doi.org/10.14414/jebav.v22i2.1688
4. Indrabayu, Mar’atuttahirah, Areni, I.S.: Automatic counting of chili ripeness on computer vision for industri 4.0. In: Proceedings - 2019 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology, IAICT 2019 (2019). https://doi.org/10.1109/ICIAICT.2019.8784858
5. Padariya, N., Patel, N.: Quality grading classification of dry chilies using neural network. Lecture Notes on Data Engineering and Communications Technologies (2021). https://doi.org/10.1007/978-981-15-4474-3_20
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