Published: 20 February 2024| Version 1 | DOI: 10.17632/z6gdb5fr7x.1
jianfei xie


A multivariate feature fusion dataset that meets the Chinese grading criteria. The multivariate feature fusion dataset. Specifically, we collected information on three types of fruits, namely, Kuril balsam pear, sainfoin, and satsuma orange. In order to ensure the broadness and representativeness of the data, for each fruit we We randomly collected and videotaped about 150 samples, and also measured fruit diameter, overall fruit Fruit diameter, overall appearance, overall defects and weight were measured in detail to ensure that the data were broad and representative. Detailed measurements of defects and weight were taken to ensure that each sample had detailed data corresponding to it.



Artificial Intelligence, Precision Agriculture