Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Field crop phenotypic information high-throughput peer-to-peer monitoring system and monitoring method

A field crop and monitoring system technology, which is applied in the field of monitoring systems, can solve problems such as inability to identify crop diseases, low quality, and unclear images, and achieve the effects of reducing control time, overcoming color distortion, and good recognition effects

Pending Publication Date: 2019-12-03
李清华
View PDF10 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] To sum up, the problems existing in the existing technology are: the images collected during the existing field crop monitoring process are not clear and of low quality; at the same time, crop diseases cannot be identified

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
  • Field crop phenotypic information high-throughput peer-to-peer monitoring system and monitoring method
  • Field crop phenotypic information high-throughput peer-to-peer monitoring system and monitoring method
  • Field crop phenotypic information high-throughput peer-to-peer monitoring system and monitoring method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0056] In order to further understand the content, features and effects of the present invention, the following examples are given, and detailed descriptions are given below with reference to the accompanying drawings.

[0057] Aiming at the problems existing in the prior art, the present invention provides a high-throughput peer-to-peer monitoring system and monitoring method for field crop phenotype information. The present invention will be described in detail below with reference to the accompanying drawings.

[0058] like figure 1 As shown, the high-throughput peer-to-peer monitoring method for field crop phenotype information provided by the embodiments of the present invention includes the following steps:

[0059] Step S101, using solar panels as a high-throughput peer-to-peer monitoring system for field crop phenotype information through the solar power supply module; collecting field crop images with camera equipment through the crop image collection module;

[0060...

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 belongs to the technical field of information monitoring, and discloses a field crop phenotypic information high-throughput peer-to-peer monitoring system and method, and the system comprises a solar power supply module, a crop image collection module, a main control module, an image enhancement module, an image feature extraction module, a crop phenotypic analysis module, a diseaserecognition module, a cloud processing module, and a display module. The robustness of the disease recognition model is improved, and a good recognition effect can be obtained. The recognition speed of the disease type of the to-be-recognized crop is increased, the crop disease prevention and treatment time is shortened, and economic benefits are improved. The field crop image quality is improvedthrough the image enhancement module; the problems of color distortion, unobvious enhancement effect and the like in the prior art are solved. Meanwhile, the robustness of the disease recognition model is improved through the disease recognition module, and a good recognition effect can be obtained. The identification speed of the disease type of the to-be-identified crop can be improved, the prevention and control time of crop diseases is shortened, and economic benefits are improved.

Description

technical field [0001] The invention belongs to the technical field of information monitoring, and in particular relates to a high-throughput peer-to-peer monitoring system and monitoring method for field crop phenotype information. Background technique [0002] Currently, the closest existing technology: the high-throughput plant phenotyping platform is a powerful tool for plant phenomics, plant functional genomics, and modern genetics and breeding research. The high-throughput plant phenotyping platform can quickly obtain various information of a large number of plants. One of the main directions of modern agricultural breeding is to improve traits, to obtain larger fruits / seeds, higher oil content (oil crops), more developed root systems and so on. A large amount of plant phenotyping information can be quickly obtained through the high-throughput plant phenotyping platform. However, the images collected in the existing field crop monitoring process are not clear and of ...

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): G06K9/00G06K9/40G06K9/46G06K9/62G05B19/048G06N3/08G06N3/04
CPCG05B19/048G06N3/08G06V20/13G06V10/30G06V10/44G06V10/56G06N3/045G06F18/253
Inventor 李清华柯庆明郑龙蒋文广
Owner 李清华
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products