Kiwi storage days prediction system based on perception gloves

By designing a portable sensing glove and combining it with a CNN network prediction model, the issues of portability, cost, and intelligence of kiwi fruit storage day prediction equipment were solved, enabling convenient prediction of kiwi fruit storage days and improving the operational efficiency and customer satisfaction of supermarkets and fruit stores.

CN115345368BActive Publication Date: 2026-05-22ZHENGZHOU UNIV +1
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Patent Information

Application Number
CN202210980369.8
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-08-16
Publication Date
2026-05-22
Estimated Expiration
2042-08-16

AI Technical Summary

Technical Problem

Existing kiwifruit storage days prediction devices are poorly portable, expensive, have limited functionality, and low intelligence, making them difficult to popularize in supermarkets and fruit shops, and they cannot accurately predict the storage days of kiwifruit.

Method used

Design a kiwi fruit storage days prediction system based on a sensing glove, including modules for acquiring information on hardness, volume, weight, temperature and humidity. Combine wireless Bluetooth communication and microcontroller processing, a storage days prediction model is built by training a CNN network, and the results are displayed through a human-computer interaction interface.

Benefits of technology

It enables portable, multi-functional kiwi fruit information measurement, reducing equipment costs and improving measurement efficiency. Furthermore, it accurately predicts the storage days of kiwi fruit through predictive algorithms, thereby enhancing customer satisfaction and reducing waste for businesses.

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Abstract

The application discloses a kiwi storage day prediction system based on a sensing glove, which comprises a portable sensing glove, realizes measurement of kiwi volume, weight, hardness and environmental temperature and humidity information, and further trains a data set collected by the sensing glove through a CNN network, constructs a kiwi storage day prediction model, and realizes prediction of the kiwi storage day. The application combines the portable sensing glove and the kiwi storage day prediction model to form the kiwi storage day prediction system, designs a man-machine interaction interface and an operating system, realizes visualization of system information through the man-machine interaction interface, guarantees more convenient man-machine interaction, realizes the kiwi storage day prediction process based on the kiwi storage day prediction model, realizes prediction of the kiwi storage day, guarantees customer satisfaction and reduces kiwi waste of a merchant.
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