| Due to the status of inhomogeneity of fruit quality and people’s increasing demand for high fruit quality,it is very important to classify the presale quality of fruits. The grading of presale fruit quality can effectively guarantee market quality, promote brand creation, improve commodity competitiveness, and instruct postharvest handling, etc. Existing physicochemical index detection method and sensory evaluation method are both characterized by low efficiency and high labor intensity, which can not meet the requirements of mass quality grading of fruit industry completely. As an emerging technology, nondestructive detection has wide market requirement and application prospect in fruit quality grading. So far, a series of fruit quality nondestructive detection methods such as spectroscopy, machine vision, hyperspectral imaging, electronic nose, acoustic feature, dielectric property, and low-field nuclear magnetic resonance have been formed. These methods have advantages in the detection of differences in structures, shapes, and quality indexes of target fruits. However, due to the influences of environment noise, drift noise, sample difference, detection efficiency and detection cost, not all of them are applied to practical industry. This paper introduced the characteristics of the existing nondestructive detection methods and their feasibility for the detection of corresponding fruit quality parameters, clarified and analyzed the application situation in practical fruit quality grading industry of the nondestructive detection methods, discussed the difficulties in the field of fruit quality nondestructive detection, and provided suggestions for the next researches. |
