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CN-122024118-A - Treatment method and device for manufacturing water-retaining bio-organic fertilizer

CN122024118ACN 122024118 ACN122024118 ACN 122024118ACN-122024118-A

Abstract

The invention discloses a processing method and a device for manufacturing a water-retaining biological organic fertilizer, wherein the method comprises the steps of obtaining video information of manufacturing the water-retaining biological organic fertilizer; the method comprises the steps of converting water-retaining bio-organic fertilizer production video information to obtain target flow conversion information, identifying the target flow conversion information by utilizing a target identification model to obtain target identification result information, wherein the target identification result information is used for indicating the production flow of the optimized water-retaining bio-organic fertilizer.

Inventors

  • LEI WENDONG
  • LI NING

Assignees

  • 广州金尚投资有限公司

Dates

Publication Date
20260512
Application Date
20240422

Claims (10)

  1. 1. A process for making a water-retaining bio-organic fertilizer, the process comprising: acquiring video information of the water-retaining biological organic fertilizer; converting the video information produced by the water-retaining bio-organic fertilizer to obtain target flow conversion information; And carrying out recognition processing on the target flow conversion information by using a target recognition model to obtain target recognition result information, wherein the target recognition result information is used for indicating the manufacturing flow of the optimized water-retaining bio-organic fertilizer.
  2. 2. The method for producing a water-retaining bio-organic fertilizer according to claim 1, wherein the object recognition model comprises a first shallow feature extraction module, a second shallow feature extraction module, a third shallow feature extraction module, a fourth shallow feature extraction module, a first medium feature extraction module, a second medium feature extraction module, a third medium feature extraction module, a fourth medium feature extraction module, a first deep feature extraction module, a second deep feature extraction module, a third deep feature extraction module, a fourth deep feature extraction module, a first fusion module, a second fusion module, a third fusion module, and a first activation module, wherein, The input end of the first shallow feature extraction module is connected with the first model input of the target recognition model, the output end of the first shallow feature extraction module is respectively connected with the input end of the second shallow feature extraction module, the input end of the first middle feature extraction module and the input end of the first fusion module, the output end of the second shallow feature extraction module is connected with the input end of the third shallow feature extraction module, the output end of the third shallow feature extraction module is connected with the input end of the fourth shallow feature extraction module, the output end of the fourth shallow feature extraction module is connected with the input end of the first fusion module, the output end of the first fusion module is connected with the input end of the second middle feature extraction module, the output end of the second middle feature extraction module is connected with the input end of the third middle feature extraction module, the output end of the third middle feature extraction module is connected with the input end of the fourth middle feature extraction module, the output end of the fourth middle feature extraction module is connected with the input end of the first fusion module, the output end of the second middle feature extraction module is connected with the input end of the second middle feature extraction module The input end of the third fusion module is connected with the input end of the first activation module, and the output end of the first activation module is connected with the first model output of the target identification model.
  3. 3. The method for preparing a water-retaining bio-organic fertilizer according to claim 2, wherein the first shallow feature extraction module comprises a first convolution unit, a second convolution unit, a third convolution unit, a fourth convolution unit, a fifth convolution unit, a sixth convolution unit and a first connection unit, wherein, The input end of the first convolution unit is connected with the first model input of the target identification model, the output end of the first convolution unit is connected with the input end of the second convolution unit, the additional input end of the second convolution unit is also connected with the first model input of the target identification model, the output end of the second convolution unit is respectively connected with the input end of the third convolution unit and the input end of the fourth convolution unit, the output end of the third convolution unit is connected with the input end of the fourth convolution unit, the output end of the fourth convolution unit is connected with the input end of the fifth convolution unit, the output end of the fifth convolution unit is connected with the input end of the sixth convolution unit, the output end of the sixth convolution unit is connected with the input end of the first connection unit, and the output end of the first connection unit is respectively connected with the input end of the second shallow feature extraction module, the input end of the first middle feature extraction module and the input end of the first fusion module; The first middle feature extraction module comprises a seventh convolution unit, an eighth convolution unit, a ninth convolution unit, a tenth convolution unit, an eleventh convolution unit, a twelfth convolution unit and a second connection unit, wherein, The input end of the seventh convolution unit is connected with the output end of the first connection unit, the output end of the seventh convolution unit is connected with the input end of the eighth convolution unit, the input end of the eighth convolution unit is also connected with the output end of the first connection unit, the output end of the eighth convolution unit is respectively connected with the input end of the ninth convolution unit and the input end of the tenth convolution unit, the output end of the ninth convolution unit is connected with the input end of the tenth convolution unit, the output end of the tenth convolution unit is connected with the input end of the eleventh convolution unit, the output end of the eleventh convolution unit is connected with the input end of the twelfth convolution unit, the output end of the twelfth convolution unit is connected with the input end of the second connection unit, and the output end of the second connection unit is respectively connected with the input end of the second fusion module and the input end of the first deep feature extraction module; The first deep feature extraction module comprises a thirteenth convolution unit, a fourteenth convolution unit, a fifteenth convolution unit, a sixteenth convolution unit, a seventeenth convolution unit, an eighteenth convolution unit and a third connection unit, The input end of the thirteenth convolution unit is connected with the output end of the second connection unit, the output end of the thirteenth convolution unit is connected with the input end of the fourteenth convolution unit, the input end of the fourteenth convolution unit is also connected with the output end of the second connection unit, the output end of the fourteenth convolution unit is respectively connected with the input end of the fifteenth convolution unit and the input end of the sixteenth convolution unit, the output end of the fifteenth convolution unit is connected with the input end of the sixteenth convolution unit, the output end of the sixteenth convolution unit is connected with the input end of the seventeenth convolution unit, the output end of the seventeenth convolution unit is connected with the input end of the eighteenth convolution unit, the output end of the eighteenth convolution unit is connected with the input end of the third connection unit, and the output end of the third connection unit is connected with the input end of the third fusion module.
  4. 4. The method for producing a water-retaining bio-organic fertilizer according to claim 1, wherein the converting the water-retaining bio-organic fertilizer production video information to obtain target flow conversion information comprises: Performing image conversion processing on the video information for manufacturing the water-retaining bio-organic fertilizer to obtain image information for manufacturing the water-retaining bio-organic fertilizer; Carrying out noise reduction treatment on the image information produced by the aquatic organism organic fertilizer to obtain noise reduction produced image information; and detecting and correlating the noise reduction production image information by using a target detection model to obtain target flow conversion information.
  5. 5. The method for producing a water-retaining bio-organic fertilizer according to claim 4, wherein the detecting and correlating the noise-reduced production image information using a target detection model to obtain target flow conversion information comprises: performing position detection processing on the noise reduction production image information by using a target detection model to obtain production position detection information; and carrying out association processing on the production position detection information to obtain target flow conversion information.
  6. 6. The method for preparing a water-retaining bio-organic fertilizer according to claim 4, wherein the object detection model comprises a first convolution module, a second convolution module, a first combined feature extraction module, a second combined feature extraction module, a third combined feature extraction module, a first cross feature extraction module, a second cross feature extraction module, a third cross feature extraction module, a fourth cross feature extraction module, a first connection module, and a second activation module, wherein, The input end of the first convolution module is connected with the second model input of the target detection model, and the output end of the first convolution module is respectively connected with the input end of the first combined feature extraction module, the input end of the fourth fusion module, the input end of the fifth fusion module, the input end of the second combined feature extraction module and the input end of the third combined feature extraction module; the output end of the first combination feature extraction module, the output end of the second combination feature extraction module and the output end of the third combination feature extraction module are all connected with the input end of the fourth fusion module, the output end of the fourth fusion module is connected with the input end of the fifth fusion module, the output end of the fifth fusion module is connected with the input end of the first cross feature extraction module, the output end of the first cross feature extraction module is connected with the output end of the second cross feature extraction module and is connected with the input end of the third cross feature extraction module, the output end of the fourth cross feature extraction module is connected with the input end of the second convolution module, the output end of the second convolution module is connected with the input end of the first connection module, the output end of the first connection module is connected with the input end of the second activation module, and the output end of the second activation module is connected with the second model output of the target detection model.
  7. 7. The method for preparing a water-retaining bio-organic fertilizer according to claim 6, wherein the first cross-feature extraction module comprises a twentieth convolution unit, a twenty-first convolution unit, a second normalization unit, a third normalization unit, a second activation unit, a third activation unit, and a sixth fusion module, wherein, The output end of the fifth fusion module is respectively connected with the input end of the twenty-first convolution unit and the input end of the sixth fusion module, the output end of the second convolution unit is connected with the input end of the second normalization unit, the output end of the second normalization unit is connected with the input end of the second activation unit, the output end of the second activation unit is connected with the input end of the twenty-first convolution unit, the output end of the twenty-first convolution unit is connected with the input end of the third normalization unit, the output end of the third normalization unit is connected with the input end of the sixth fusion module, the output end of the sixth fusion module is connected with the input end of the third activation unit, and the output end of the third activation unit is connected with the input end of the second cross feature extraction module.
  8. 8. A treatment device for making a water-retaining bio-organic fertilizer, the device comprising: the acquisition module is used for acquiring the video information produced by the water-retaining biological organic fertilizer; The first processing module is used for converting the video information produced by the water-retaining biological organic fertilizer to obtain target flow conversion information; The second processing module is used for carrying out recognition processing on the target flow conversion information by utilizing a target recognition model to obtain target recognition result information, wherein the target recognition result information is used for indicating the manufacturing flow of the optimized water-retaining bio-organic fertilizer.
  9. 9. A treatment device for making a water-retaining bio-organic fertilizer, the device comprising: a memory storing executable program code; a processor coupled to the memory; The processor invokes the executable program code stored in the memory to perform the treatment method for making a water-retaining bio-organic fertilizer as claimed in any one of claims 1 to 7.
  10. 10. A computer-readable storage medium storing computer instructions that, when invoked, are adapted to perform the method of treatment for making a water-retaining bio-organic fertilizer according to any one of claims 1-7.

Description

Treatment method and device for manufacturing water-retaining bio-organic fertilizer Technical Field The invention relates to the technical field of image processing, in particular to a processing method and a processing device for manufacturing a water-retaining biological organic fertilizer. Background Agriculture is a large household with water, lack of water and saving water. The water utilization rate is as low as 40-45% because of the traditional mode of large water flood irrigation in national agriculture, and in addition, drought and water shortage are common in western and desert areas of China, and even if rainfall happens occasionally, water loss can be fast caused. It is necessary to develop a water-retaining biological organic fertilizer with obvious water-retaining and fertilizer-retaining effects and capable of raising SOD content of crops. The current manufacturing process of the water-retaining organic biological organic fertilizer is relatively complex, the flow control mode is relatively backward, and the manufacturing production efficiency is low. Therefore, the treatment method and the treatment device for manufacturing the water-retaining bio-organic fertilizer are provided, so that the effective identification accuracy of the manufacturing process flow of the water-retaining bio-organic fertilizer is improved, the intervention efficiency of the manufacturing process flow is further improved, and the production efficiency of the water-retaining bio-organic fertilizer is improved. Disclosure of Invention The invention aims to solve the technical problem of providing a treatment method and a treatment device for manufacturing the water-retaining bio-organic fertilizer, which are beneficial to improving the effective identification accuracy of the manufacturing process flow of the water-retaining bio-organic fertilizer, further improving the intervention efficiency of the manufacturing process flow and improving the production efficiency of the water-retaining bio-organic fertilizer. To solve the above technical problems, a first aspect of the embodiments of the present invention discloses a treatment method for manufacturing a water-retaining bio-organic fertilizer, the method comprising: acquiring video information of the water-retaining biological organic fertilizer; converting the video information produced by the water-retaining bio-organic fertilizer to obtain target flow conversion information; And carrying out recognition processing on the target flow conversion information by using a target recognition model to obtain target recognition result information, wherein the target recognition result information is used for indicating the manufacturing flow of the optimized water-retaining bio-organic fertilizer. The second aspect of the embodiment of the invention discloses a treatment device for manufacturing a water-retaining bio-organic fertilizer, which comprises: the acquisition module is used for acquiring the video information produced by the water-retaining biological organic fertilizer; The first processing module is used for converting the video information produced by the water-retaining biological organic fertilizer to obtain target flow conversion information; The second processing module is used for carrying out recognition processing on the target flow conversion information by utilizing a target recognition model to obtain target recognition result information, wherein the target recognition result information is used for indicating the manufacturing flow of the optimized water-retaining bio-organic fertilizer. In a third aspect, the invention discloses another treatment device for making a water-retaining bio-organic fertilizer, the device comprising: a memory storing executable program code; A processor coupled to the memory; The processor invokes the executable program code stored in the memory to perform some or all of the steps in the treatment method for making the water-retaining bio-organic fertilizer disclosed in the first aspect of the embodiment of the present invention. In a fourth aspect, the present invention discloses a computer readable storage medium, where computer instructions are stored, where the computer instructions, when called, are used to perform part or all of the steps in the treatment method for manufacturing a water-retaining bio-organic fertilizer disclosed in the first aspect of the present invention. Drawings In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. FIG. 1 is a schematic flow diagram of a treatment process for making a water-retaining bio-organic f