Pineapple automatic grading and sorting method and device based on binocular vision and multispectral detection technology

Abstract

The invention discloses a pineapple automatic grading and sorting method and device based on binocular vision and multispectral detection technology. The method includes the following steps: firstly adopting the binocular vision system to detect the size and color maturity of pineapples, and grading the outer quality of pineapple; then adopting the multispectral detection to detect whether the inside of the pineapples is damaged or not, and detecting and judging the inner quality of pineapples according to the spectral curve characters of inner water content and carbohydrate content of normalpineapples and bad pineapples, and then grading the inner quality of pineapples; finally performing automatic grading and sorting of pineapples according to the above detection results. According to the method provided by the invention, pineapples can be accurately, efficiently and automatically graded and sorted, the algorithm is high in speed and few in operand, the device can be applied to mainengine equipment with poor configuration, is low in cost, and very suitable for field operation; the device is simple in structure, smaller in component size and convenient to operate.

Description

technical field [0001] The invention relates to the technical field of fruit and vegetable sorting, in particular to an automatic grading and sorting method and device for pineapples based on binocular vision and multi-spectral detection technology. Background technique [0002] Pineapple is one of the four famous fruits in southern China, and its demand and planting volume are constantly increasing. Vigorously developing the mechanization of pineapple collection and sorting is of great significance to promoting the adjustment of the pineapple industry structure, promoting the value of pineapple products, and increasing the income of fruit farmers. Before the processing or sale of pineapples, sorting and collection must be carried out. Most of the existing similar sorting methods are to carry the pineapples to the fruit field after manual picking, and then manually classify them according to the size and color of the pineapples. pick. This kind of screening based on people...

AI Technical Summary

Problems solved by technology

This kind of screening based on people's senses has no clear indicators, it is difficult to ensure the accuracy of classification, and it is also difficult to detect unscrupulous pineapples, and the work is labor-intensive, time-consuming and labor-intensive, and the work efficiency is low.

Images