Fruit maturity as an important indicator to measure the quality and grade of fruits, distinction of fruit maturity between different fruits could reduce the loss rate in picking, storage, transport, and other logistics sectors. Hyperspectral technology was a novel spectroscopic techniques and computer vision fusion technology, which could evaluate fruit quality from the image dimensions and spectral dimension. This paper reviewed the application of the technology at home and abroad and proposed the application of the hyperspectral imaging technology to detect jujube and pear maturity. The most effective characteristic wavelengths of jujube and pear were determined based on fruits with different maturity degrees having different reflectances in the visible and near infrared bands.