Detection of the degree of harvest maturity of Hass avocado in uncontrolled environments
DOI:
https://doi.org/10.26507/paper.4771Keywords:
harvest maturity, digital image processing, uncontrolled environmentAbstract
Hass avocado has become a fundamental product as an alternative for the development of the agricultural sector of the country. In our country it is a relatively new crop and the quality of exports depends largely on achieving an optimal level of maturity at the time of harvest. Non-invasive technological tools using image analysis have shown promise in addressing this problem, although their effectiveness and computational characteristics remain uncertain. This study presents a computational model for measuring the degree of maturity of Hass avocado harvest through digital image processing based on the physical characteristics of the fruit.
Image processing contributes significantly to providing an accurate, objective and consistent method for assessing maturity, reducing human error and supporting the overall quality control process.
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