Detection and Elimination of Trash using Machine Vision and Extended De-Stemmer for a Citrus Canopy Shake and Catch Harvester
نویسندگان
چکیده
The main objective of this research was to design an efficient trash removal system and quantify the amount of trash materials such as leaves and twigs, generated during harvesting by a continuous citrus canopy shake and catch harvester, and to compare the efficiency of two destemmers with different lengths. A regular de-stemmer with a set of ten 24-inch long rollers and an extended de-stemmer with a set of ten 36-inch long rollers were used. Regression analysis was performed to find the indirect mass estimation of the trash. Twelve baskets with different amount of fruit and trash were prepared and used for trash removal experiment. A t-test was conducted to compare the amount of trash removed by regular and extended de-stemmers. The trash removed by the extended de-stemmer was more compared to those removed by the regular de-stemmer. The R value between actual trash mass and pixel area from the validation images was 0.84.
منابع مشابه
Trash detection system for a citrus canopy shake and catch harvester using machine vision
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