Analysis of Computer Vision Algorithms to Determine the Quality of Fermented Cocoa (Theobroma Cacao): Systematic Literature Review

Author:

Mite-Baidal KarenORCID,Solís-Avilés EvelynORCID,Martínez-Carriel TayronORCID,Marcillo-Plaza AugustoORCID,Cruz-Ibarra EliciaORCID,Baque-Bustamante WilmerORCID

Publisher

Springer International Publishing

Reference30 articles.

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4. Szeliski, R.: Computer Vision: Algorithms and Applications. Springer, London (2010)

5. Liu, D., Zeng, X.-A., Sun, D.-W.: Recent developments and applications of hyperspectral imaging for quality evaluation of agricultural products: a review. Crit. Rev. Food Sci. Nutr. 55, 1744–1757 (2015)

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1. Computer vision for plant pathology: A review with examples from cocoa agriculture;Applications in Plant Sciences;2023-12-19

2. Emerging rapid and non-destructive techniques for quality and safety evaluation of cacao: recent advances, challenges, and future trends;Food Production, Processing and Nutrition;2023-09-03

3. Content-Based Image Retrieval Framework for Classification of Cocoa Beans;2021 IEEE 8th International Conference on Adaptive Science and Technology (ICAST);2021-11-25

4. Classification of fermented cocoa beans (cut test) using computer vision;Journal of Food Composition and Analysis;2021-04

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