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Soil ploughing state detection method, device and equipment and storage medium

A detection method and soil technology, applied in the direction of neural learning methods, instruments, biological neural network models, etc., can solve the problems of low accuracy rate, inability to quickly display or inform the plowing situation, and low degree of automation, so as to improve the accuracy rate Effect

Pending Publication Date: 2021-12-17
GUANGZHOU XAIRCRAFT TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The existing detection method of plowing status is mainly inspected by the naked eye of the staff, the degree of automation is not high, the situation of plowing cannot be quickly displayed or notified, and the detection accuracy is low

Method used

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  • Soil ploughing state detection method, device and equipment and storage medium
  • Soil ploughing state detection method, device and equipment and storage medium
  • Soil ploughing state detection method, device and equipment and storage medium

Examples

Experimental program
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Effect test

Embodiment 1

[0047] figure 1 This is a flowchart of a method for detecting soil tillage state provided in Embodiment 1 of the present invention. This embodiment can be applied to the situation of detecting soil tillage state according to farmland images, and the method can be detected by a soil tillage state detection device. For execution, the apparatus can be implemented by software and / or hardware, and can generally be integrated in a mobile visual device, such as a camera or a mobile terminal, etc. The method specifically includes the following steps:

[0048] Step 110: Acquire at least one soil picture in the target soil area.

[0049] In this step, the target soil area is the farmland soil area concerned by the user, and specifically, the target soil area is the area where the tillage operation has been completed and the tillage state of the soil is waiting to be detected. The image collected based on the target soil area is the soil image.

[0050] Optionally, this embodiment may ...

Embodiment 2

[0082] On the basis of the above-mentioned first embodiment, this embodiment provides a specific implementation manner of using the training data set and the test data set to iteratively train the neural network model to obtain the soil block identification model. Terms that are the same as or corresponding to the above-mentioned embodiments are explained, and are not repeated in this embodiment. figure 2 A flow chart of a method for detecting a soil tillage state provided in Embodiment 2 of the present invention, such as figure 2 As shown, the method includes the following steps:

[0083] Step 210: Acquire at least one soil picture in the target soil area.

[0084] Step 220: Input the soil image into a pre-trained soil block identification model, and obtain at least one soil block included in the soil image output from the soil block identification model, and the size of each soil block. .

[0085] In this step, the soil block identification model performs soil block det...

Embodiment 3

[0100] image 3 This is a structural diagram of a soil tillage state detection device provided in Embodiment 3 of the present invention, the device includes a soil picture acquisition module 310 , a soil block identification module 320 and a soil tillage state determination module 330 .

[0101] Among them, the soil picture acquisition module 310 is used to acquire at least one soil picture in the target soil area; the soil block identification module 320 is used to identify at least one soil block included in the soil picture and the soil blocks of each soil block Size; the soil tillage state determination module 330 is configured to determine the soil tillage state corresponding to the target soil area according to the number of clods of at least one size level in the soil picture.

[0102] The technical solution of the embodiment of the present invention identifies all the soil blocks included in the soil image and the size of each soil block by acquiring the soil pictures ...

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Abstract

The invention discloses a soil ploughing state detection method and device, equipment and a storage medium. The method comprises the steps of obtaining at least one soil picture in a target soil area; identifying at least one soil block included in the soil picture and the soil block size of each soil block; and according to the number of the soil blocks of at least one size grade in the soil picture, determining the soil ploughing state corresponding to the target soil area. According to the technical scheme of the embodiment of the invention, the problem of low automation degree of a detection method of the soil ploughing state in the prior art is solved, the user can be quickly displayed or informed of the soil ploughing state, and the accuracy of ploughing state detection is improved.

Description

technical field [0001] Embodiments of the present invention relate to image recognition and processing technologies, and in particular, to a method, device, equipment and storage medium for detecting soil tillage state. Background technique [0002] Ploughing is an important tillage method in agricultural production, which mainly refers to shoveling, crushing and turning the soil. Ploughing is conducive to loosening the soil, storing rainwater, and promoting the nutrient transformation and root extension of crops; on the other hand, ploughing can effectively bury weeds, bacteria, and pests on the soil surface into the deep soil, improving the sowing quality of farmland. , Inhibit the growth and reproduction of diseases, insects and weeds. Therefore, combined with the current development trend of automated agriculture, it is particularly important to automatically and efficiently detect soil tillage. [0003] The existing methods for detecting the tillage state are mainly i...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08G06Q50/02
CPCG06N3/08G06Q50/02G06N3/045G06F18/241G06F18/214
Inventor 黄盛
Owner GUANGZHOU XAIRCRAFT TECH CO LTD
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