Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Seed production field prediction processing method and device, storage medium and electronic device

A predictive processing and field block technology, applied in the field of communication, can solve the problem of unrecognizable non-striped sowing, and achieve the effect of reducing labor costs

Pending Publication Date: 2022-04-05
CHINA TELECOM CORP LTD
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The embodiment of the present application provides a method, device, storage medium, and electronic device for predicting and processing seed production fields to solve the problem of identifying seed production fields through remote sensing images in the related art, which needs to be artificially based on the stripes that are different from field corn presented in the seed production corn field Image recognition also requires a large amount of manual image recognition, and the problem of not being able to recognize non-striped seeds

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
  • Seed production field prediction processing method and device, storage medium and electronic device
  • Seed production field prediction processing method and device, storage medium and electronic device
  • Seed production field prediction processing method and device, storage medium and electronic device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0098] Embodiments of the present application will be described in detail below with reference to the drawings and in combination with the embodiments.

[0099] It should be noted that the terms "first" and "second" in the description and claims of the present application and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence.

[0100] The method embodiments provided in the embodiments of the present application may be executed in mobile terminals, computer terminals or similar computing devices. Taking running on a mobile terminal as an example, figure 1 It is a block diagram of the hardware structure of the mobile terminal of the planting field prediction processing method of the embodiment of the present application, as figure 1 As shown, the mobile terminal may include one or more ( figure 1 Only one is shown in the figure) processor 102 (processor 102 may include but not limited to a processin...

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 embodiment of the invention provides a seed production field prediction processing method and device, a storage medium and an electronic device. The method comprises the following steps: determining a feature weight of signaling position data of a to-be-identified field; obtaining a target feature variable related to seed field identification according to the feature weight of the to-be-identified signaling position data; and inputting the target characteristic variable into a pre-trained target identification model, performing seed production field prediction, and obtaining a prediction result of the to-be-identified field parcel, thereby solving the problem that in related technologies, when the seed production field is identified through a remote sensing image, identification needs to be performed manually according to a stripe image different from field corn presented in a seed production corn field, and the identification efficiency is high. The method solves the problems that the existing seed production field identification method needs large-scale manual image identification and cannot identify non-stripe-shaped sowing, can be applied to large-scale and accurate seed production field identification, can complete seed production field identification without manual participation, and achieves the effect of reducing the labor cost.

Description

technical field [0001] The embodiments of the present application relate to the communication field, and in particular, relate to a method, device, storage medium, and electronic device for predicting and processing seedling fields. Background technique [0002] Seed industry management is the top priority of the No. 1 Central Document in 2021, and it is also one of the important tasks of national ministries and local villages and towns. At present, in the process of large-scale corn planting, it is often divided into field corn and seed corn. After the field corn matures, it will be circulated to the market for sale, while seed corn will be used as reserved seed, which is one of the foundations of agricultural activities in the next year. . [0003] Seed production corn is divided into legal seed production and illegal seed production. The legal seed production is carried out after the authorization of the seed company or relevant departments, while the illegal seed produc...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/02G06V20/10G06N20/00
Inventor 吴春子张芬芬白云东张鑫赵宇
Owner CHINA TELECOM CORP LTD
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
Eureka Blog
Learn More
PatSnap group products