Non-invasive image-based analysis as a sustainable alternative for the food industry: a bibliographic review
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http://orcid.org/0000-0003-1784-0359
Esteban Mauricio Fuentes-Pérez
http://orcid.org/0000-0002-1094-086X
Abstract
INTRODUCTION. The growing demand for food at a global level requires efficiency in all processes and controls, the implementation of technology is becoming mandatory, especially in the modernization of field production, which includes devices accessible to the actors in the sector. The development and implementation of unconventional analysis and technology demonstrates reliability while maintaining a sustainable approach. OBJECTIVE. The objective of the review is to present how the use of image analysis addresses the three dimensions of the sustainability concept and to present reliable results. METHOD. A systematic review of the bibliography of recent years was carried out regarding the results of the analysis of quality parameters in fresh fruits and their relationship with sustainability, selecting 40 documents from a total of 92 references, eliminating them due to low relevance. RESULTS. Traditional analyzes have limitations and deviations from sustainable development. At the same time, research is emerging on the use of non-conventional methods of analysis in food, with image analysis being a feasible application tool that presents results with precision greater than 90%. DISCUSSION AND CONCLUSIONS. The determination of parameters in food through image analysis (unconventional method) emerges as an analysis and control tool with great potential in the food chains, contributing with reliability of results and contributing to sustainable development.
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