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This work develops automated systems based on computer vision to improve the quality control and sorting of dried figs of Cosenza (protected denomination of origin) focusing on two research issues. The first one was based on qualitative discrimination of figs through colour assessment comparing the analysis of colour images obtained using a digital camera, with those obtained according to conventional instrumental methods, i.e. colourimetry currently done in laboratories. Data were expressed in terms of CIE XYZ, CIELAB and HunterLab colour spaces, as well as the browning index measurement of each fruit, that were analyzed using PCA and PLS-DA based methods. The results showed that both chroma meter and image analysis allowed a complete distinction between high quality and deteriorated figs, according to colour attributes. The second issue had the purpose to develop image processing algorithms to achieve real-time sorting of figs using an experimental prototype based on 2 machine vision, advancing an industrial application. An extremely high 99.5% of deteriorated figs were classified correctly as well as 89.0% of light good quality figs. Lower percentage was obtained for dark good quality figs but results were acceptable since the most of the confusion was among the two classes of good product.

The interview results demonstrated neck and dorsal pains and fatigue causes for each operator. The VO₂ was equal to 82.33 ± 27.40 lO₂/h for women and 67.00 ± 27.60 lO₂/h for men, meaning that it was tiring for some men but for all women. The heart rates were of 115 ± 6.00 bpm for women and 113 ± 5.65 bpm for men. The VCO₂ was of 63.81 ± 21.45 lCO₂/h for women and 45.10 ± 25.53 lCO₂/h for men, while energetic equivalent and body surface area were similar for both genders, about 5.60W × h/l O₂ and 1,80 m(2) on average. Women's metabolic rate had a very high value - over 290W × m(-2), although for the men it was between 200-260W × m(-2). According to OWAS, low apple picking was ranked in class 2, high apple picking in class 1, and apple transportation belonged to class 3. conclusion. Related to VO₂ and VCO₂ consumption and the identified negative body postures, it is necessary to improve working conditions.

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