Automatic strawberry picking method based on Kmeans algorithm

A strawberry and algorithm technology, applied in the fields of picking machines, computing, computer parts, etc., can solve the problems of low degree of agricultural automation, the impact of the artificial picking industry, and the increase of labor costs, so as to promote the process of automation technology and broad market prospects. , to ensure the effect of picking quality

Inactive Publication Date: 2019-12-10
田林睿
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Problems solved by technology

[0002] As a large agricultural country, China has the highest number of data. Among them, the strawberry planting area is about 2 million mu, and it is the country with the largest distribution of strawberry species in the world. Compared with European and American countries, China's agricultural planting degree is very high. , but the degree of automation in agriculture is very low. This low degree of automation greatly limits the efficiency of agricultural picking in China. At the same time, the rise in labor costs has also had a great impact on the manual picking industry.
At present, strawberries in my country are mainly produced in three forms: solar greenhouse facilitated cultivation, early spring semi-facilitated cultivation in large and medium-sized sheds, and open field cultivation. Strawberry picking is usually mainly manual, and it is difficult to balance quality and efficiency.

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  • Automatic strawberry picking method based on Kmeans algorithm
  • Automatic strawberry picking method based on Kmeans algorithm

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Embodiment Construction

[0022] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention. These all belong to the protection circle of the present invention.

[0023] A kind of automatic strawberry picking method based on Kmeans algorithm, comprises the following steps:

[0024] 1) The image information of the area to be picked is obtained through the camera connected to the miniPC, and the image information is passed to the Kmeans classifier after image preprocessing, and is classified based on the Kmeans machine learning algorithm;

[0025] 2) Then separate the RGB channels of each type of picture classified by th...

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Abstract

The invention discloses an automatic strawberry picking method based on a Kmeans algorithm. The method comprises the following steps that to-be-picked strawberry area image information is acquired, and after image preprocessing is conducted, the preprocessed image information is transmitted to a Kmeans classifier for classifying; RGB channel separation and image screening are conducted, and when preset conditions are met, a signal is output; an output signal of a mini PC is obtained through a head grabbing mechanism, strawberries are controlled to reach positions waiting for cutting, and railswitching is completed; after a microswitch is triggered, the strawberries are cut and collected, and picking is completed. By adopting the method, the strawberries can be continuously and efficientlyharvested through an assembly line mode, the mechanism does not need to be stopped for waiting for picking, and the picking efficiency is greatly improved; meanwhile, the strawberries needing to be picked are sorted out reasonably and effectively, the situation is avoided that unripe strawberries are mixed in the strawberries needing to be picked in the picking process, the picking quality is ensured, the automation and technicalization process of agricultural planting is effectively promoted, and the method has a wide market prospect.

Description

technical field [0001] The invention relates to the field of agricultural production, in particular to an automatic strawberry picking method based on the Kmeans algorithm. Background technique [0002] As a large agricultural country, China has the highest number of data. Among them, the strawberry planting area is about 2 million mu, and it is the country with the largest distribution of strawberry species in the world. Compared with European and American countries, China's agricultural planting degree is very high. , but the degree of automation in agriculture is very low. This low degree of automation greatly limits the efficiency of agricultural picking in China. At the same time, the increase in labor costs has also caused a great impact on the manual picking industry. At present, strawberries in my country are mainly produced in three forms: solar greenhouse facilitated cultivation, early spring semi-facilitated cultivation in large and medium-sized arch sheds, and op...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A01D46/00G06K9/00G06K9/62
CPCA01D46/00G06V20/10G06F18/23213G06F18/24
Inventor 田林睿李崧玮祁乐吕晓阳
Owner 田林睿
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