Aguacate weight classifier not only has accurate weighing, but also has the characteristics of not damaging the fruit, high efficiency, easy operation and wide application range. It can improve the quality of the fruit and enhance the competitiveness of the fruit market. It is an excellent machine for the grading system of agricultural products.Leave MessageOnline Service
online weight sorting machine/fruit weight classifier . FEATURES 1, New designed mechanical structure with IP65 Protection Grade, improving the measurement accuracy and speed. 2, Mechanical designed to comply with food and pharmaceutical hygiene standards. 3, Quick release drive unit for easy cleaning and maintenance. 4, German precision load cell and highspeed weighing signal processingLeave MessageOnline Service
201845&ensp·&enspHigh speed intelligent classifier of tomatoes by colour, size and weight J. Clement 1 Spain Abstract At present most horticultural products are classified and marketed according to quality standards, which provide a common language for growers, packers, buyers and consumers. of the fruit considered necessary to make an objectiveLeave MessageOnline Service
2020315&ensp·&enspThe nanoparticles structures were synthesised following the procedure proposed by Lee and Meisel .Briefly, 36.0 μL gold (III) chloride (SigmaAldrich©, St. Louis, USA) was added to 95.0 mL of deionized water and then boiled. 3 mL of anhydrous trisodium citrate 10% m/v (Labsynth©, Diadema, Brazil) was added dropwise until the color changed from yellow to red wine.Leave MessageOnline Service
Weight classifier dragon fruit sorter not only has accurate weighing, but also has the characteristics of not damaging the fruit, high efficiency, easy operation and wide application range. It can improve the quality of the fruit and enhance the competitiveness of the fruit market.Leave MessageOnline Service
2019814&ensp·&enspA classifier with high recall but low precision finds most members of positives (thus members of the class), but at the cost of also classifying many negatives as member of the class. A classifier with high precision but low recall is just the opposite, classifying only few samples as positives, but most of these predictions are correct.Leave MessageOnline Service
201611&ensp·&enspClement et al.  developed a tomato classifier based on color, size and weight with an accuracy of 84%. But, this method focuses mainly on size and weight. The quality of the tomato highly depends on the ripeness level and defect. Automatic systems were developed for identification of tomato defects based on color [14, 15].Leave MessageOnline Service
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