The fruit sorting machine referred to here are round, spherical fruits, such as apples, tangerines, oranges, avocados, etc. Classify fruits based on specific parameters such as size, shape, color, weight, or ripeness.
Single channel or multi-channel sorting host according to production demand. According to sorting requirements, sugar content and bad fruit detection will be increased.
Sugar content and bad fruit detection Technology Used:
- Optical Sorting: Cameras or infrared sensors to analyze surface features.
- AI and Machine Learning: To improve accuracy in identifying quality and categorizing based on learned patterns.
- Robotics: For precise handling and placement after sorting.
Benefits:
- Increases sorting speed compared to manual labor.
- Ensures consistent quality control.
- Reduces waste by minimizing errors in grading.
- Enhances scalability for large production facilities.
