Annona squamosa cultivating and picking integrated method based on machine vision

Through the integrated method of cultivating and picking of cloves based on machine vision, combined with fuzzy control technology, the precise cultivation and picking of cloves is achieved, solving the problems of low picking efficiency and fruit damage in the existing technology, and improving yield and fruit quality.

CN119908240AActive Publication Date: 2025-05-02GUANGZHOU UNIVERSITY
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Patent Information

Application Number
CN202510405348.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-02
Publication Date
2025-05-02
Estimated Expiration
2045-04-02

AI Technical Summary

Technical Problem

The existing Sugar Picking Technology has problems such as low picking efficiency, high labor intensity and high risk of damage to fruits by mechanical picking. It also lacks integrated cultivation and picking methods, resulting in damage to the fruit during the cultivation and picking process, affecting yield.

Method used

The integrated method of cultivating and picking of sausage based on machine vision is adopted, combining fuzzy control ideas and machine vision technology, image data is obtained through drones, a three-dimensional environmental model of sausage is constructed, spatial data is extracted, and the control scheme of fuzzy masage is achieved to achieve accurate cultivation and picking of sausage.

Benefits of technology

The cultivation and picking efficiency of sausage sausage has been improved, the damage rate and bad fruit rate of the fruit are reduced, and the yield of sausage has been improved.

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Abstract

The invention discloses a machine vision-based annona squamosa cultivating and picking integrated method, which comprises the following steps of: firstly, acquiring image data of annona squamosa through an unmanned aerial vehicle, constructing a three-dimensional environment model of the annona squamosa by combining a multi-view three-dimensional reconstruction algorithm, and extracting spatial data of the annona squamosa; then, the annona squamosa is clustered according to spatial distribution of the planting area, and a robot carrying a mechanical arm is dispatched for each cluster to conduct cultivation and picking operation; then the unmanned aerial vehicle is controlled to count the number of annona squamosa in each cluster, and path planning is conducted on the robot in each cluster; and finally, generating a mechanical arm force control scheme, a moving speed control scheme and a light supplementing quantity control scheme of each cluster of robots based on fuzzy mathematics, and cultivating and picking the annona squamosa by each cluster of robots according to the generated schemes. The machine vision and fuzzy control technology is combined, the annona squamosa cultivation and picking integrated service is achieved, the annona squamosa cultivation and picking efficiency and yield are improved, and the bad fruit rate and the damage rate are reduced.
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