Agricultural picking robot target maturity judgment and classified storage method

Abstract

The invention belongs to the technical field of image recognition, and particularly relates to an agricultural picking robot target maturity judgment and classified storage method which is characterized in that in an agricultural planting area, a picking robot inspects along a set route and collects pictures of picking targets; the control computer sets maturity indexes according to characteristics associated with maturity height and a plurality of indexes such as colors, sizes and wrinkles of fruits to be picked, establishes a model for the maturity degree and storage time of strawberries, and performs artificial intelligence recognition on strawberry pictures collected by the picking robot. And strawberry categories and coordinate information are transmitted to an artificial intelligence identification control panel, a picking and sorting control panel and a vehicle body moving control panel of the picking robot, and finally grabbing and sorting of the mechanical arm and obstacle avoidance walking of wheels are achieved. The method has the advantages that the strawberries can be picked, classified and packaged according to long storage time or long transportation distance, so that the loss of the strawberries in transportation is reduced, the sales area is expanded, and the economic benefit is improved.

Description

technical field [0001] The invention belongs to the technical field of image recognition and intelligent operation, and in particular relates to a target maturity judgment and classification storage method for an agricultural picking robot suitable for strawberry planting. Background technique [0002] In agricultural production, there are many precautions in the strawberry picking process, and the picking steps are cumbersome. However, in many areas of our country, strawberry picking is still mainly done manually, and production mechanization and modelization have not been realized to a large extent. Simply relying on labor is not only inefficient, but also the quality of strawberry finished products cannot be guaranteed. This picking method is time-consuming and labor-intensive, and requires the cooperation of multiple people to complete. Most of the picking machines in the prior art cannot be sorted and packed according to the maturity and size of strawberries during the...

AI Technical Summary

Problems solved by technology

At this time, according to the first-in first-out storage management, it will undoubtedly affect the user's tasting experience of strawberries

[0004] In modern three-dimensional strawberry greenhouses, the color and size of strawberries are slightly different. Therefore, it is necessary to develop an artificial intelligence strawberry state recognition and detection system that can detect and judge the maturity of strawberries during the picking process. The time difference between the refrigeration and transportation process assists the warehouse staff in the operation of entering and leaving the warehouse, and improves the accuracy and accuracy of the management of the warehouse entering and leaving the warehouse and the classification and storage. At present, there are few reports in the relevant literature

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