Citrus identifying and counting method

A counting method, citrus technology, applied in the field of machine learning image recognition, can solve problems such as the inability to accurately identify and count citrus in citrus orchards

Pending Publication Date: 2022-03-01
TIBET UNIV
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the above-mentioned deficiencies in the prior art, a citrus identification and counting method provided by

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Citrus identifying and counting method
  • Citrus identifying and counting method
  • Citrus identifying and counting method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] The specific embodiments of the present invention are described below so that those skilled in the art can understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes Within the spirit and scope of the present invention defined and determined by the appended claims, these changes are obvious, and all inventions and creations using the concept of the present invention are included in the protection list.

[0035] like figure 1 Shown, in one embodiment of the present invention, a kind of citrus identification and counting method comprises the following steps:

[0036] S1. Acquire and analyze image data of citrus orchards, record citrus quantity and citrus maturity, and construct a training set.

[0037] Step S1 includes the following sub-steps:

[0038] S1-1. Obtain the image data of the citrus orchard by using the UAV to ta...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a citrus recognition and counting method, and relates to the technical field of machine learning image recognition, and the method comprises the steps: obtaining and analyzing the image data of a citrus orchard, recording the number and maturity of citrus, and constructing a training set; training a citrus recognition neural network; and through the citrus identification neural network, citrus counting is performed on the citrus orchard, and the maturity of citrus is analyzed. According to the invention, citrus fruit counting and fruit ripening state determination in an unmanned state are realized, the fruit ripening degree of an orchard can be monitored, the blank that the fruit ripening degree cannot be tracked in real time in the prior art is filled, the output reliability is high, a more reliable identification result is obtained, and the identification efficiency is improved. The method can help guide orchard production and comprehensive utilization and development of by-products thereof, reduce safety production risks, improve product yield and reduce production cost.

Description

technical field [0001] The invention relates to the technical field of machine learning image recognition, in particular to a citrus recognition and counting method. Background technique [0002] Citrus identification is a key technical link to realize automatic fruit picking, refined management of fruit trees and yield prediction in citrus orchards. [0003] Because the citrus tree targets are small, densely distributed, and the occlusion is serious, and each citrus tree has about 80 to 100 citrus, these factors will have a great impact on the performance of the target detection algorithm. Therefore, existing object detection algorithms cannot accurately identify and count citrus in citrus groves. Contents of the invention [0004] Aiming at the above-mentioned deficiencies in the prior art, a citrus identification and counting method provided by the present invention solves the problem that the prior art cannot accurately identify and count citrus in an citrus orchard. ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06V20/17G06V10/774G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06N3/084G06N3/082G06N3/045G06F18/24G06F18/214
Inventor 董志诚文铫利节肖伟杜春肖颖黄毅
Owner TIBET UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap