Fruit detection and yield estimation method and system based on machine vision

A machine vision and yield estimation technology, applied in the field of artificial intelligence target recognition and application, can solve the problems of loss of fruit information and inaccurate fruit yield estimation, and achieve the effect of reducing the number and high detection speed.

Pending Publication Date: 2022-06-24
ANHUI AGRICULTURAL UNIVERSITY
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AI Technical Summary

Problems solved by technology

[0006] Aiming at the problem that the fruit yield estimation in the prior art usually only collects target fruit tree images of a single perspective or single dimension, the fruit information is likely to be lost for densely distributed or high-yielding fruits, and the fruit yield

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  • Fruit detection and yield estimation method and system based on machine vision
  • Fruit detection and yield estimation method and system based on machine vision
  • Fruit detection and yield estimation method and system based on machine vision

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[0075] Example

[0076] This embodiment discloses a fruit target detection and fruit yield estimation system based on machine vision, such as Figure 9 As shown, the system includes a data collection module 1, a fruit target detection module 2, and a fruit yield estimation module 3. The data collection module 1 collects data through multi-view video to form a data set, and the fruit target detection module 2 performs fruit production according to the collected data set. Target detection, fruit yield estimation module 3 estimates yield through a fruit yield estimation model, the system does not need to consume too much human resources, and the detection speed is fast.

[0077] like figure 1 As shown, the system uses a machine vision-based fruit target detection and fruit yield estimation method. The specific steps are as follows:

[0078] Step 1: Collect fruit tree data from multiple angles, and construct a multi-view video stream dataset from the collected data.

[0079] Th...

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Abstract

The invention discloses a fruit detection and yield estimation method and system based on machine vision, and relates to the technical field of artificial intelligence target recognition and application. In order to solve the problem that fruit yield estimation is not accurate enough in the prior art, fruit video stream data sets of three view angles are collected; designing a CSP module based on a Transform encoder and an attention feature fusion mechanism, and integrating the CSP module into YOLOv5 to construct a target detection model YOLOv5-FF based on multi-level feature fusion neck; focal EIoU Loss is adopted as a frame loss function for training to obtain a fruit target detection model, a detection result of a YOLOv5-FF model for continuous frame images of a fruit video stream is input into a target tracking model Deep Sort, exclusive numbers are distributed for successfully matched fruits through cascade matching and an IoU matching mechanism, the number of fruits under multiple view angles is obtained, the fruit detection efficiency is improved, and the fruit quality is improved. The deployment is convenient, and the detection is efficient and accurate; the provided yield estimation model can realize high-precision measurement and calculation of the yield of the orchard.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence target recognition and application, and in particular relates to a method and system for fruit detection and yield estimation based on machine vision. Background technique [0002] China has a long history of producing pears and is one of the characteristic agricultural products in my country. The high yield per mu of pear trees requires a lot of human resources to monitor their growth conditions. For individual farmers and producer organizations, how to pick pears at the ripe stage in time and how to accurately estimate the yield of pears in the current year are important to improve the field management of pears. major challenges faced. In order to improve production efficiency and reduce labor consumption, the invention of an accurate and efficient target detection method and yield estimation method for crisp pears is crucial to the modern production of pear industry. The pear ...

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Application Information

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IPC IPC(8): G06V20/40G06K9/62G06V10/80
CPCG06F18/253
Inventor 李亦璞饶元罗庆王丰仪束雅丽金秀万天与
Owner ANHUI AGRICULTURAL UNIVERSITY
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