Soil drought identification method based on improved edge detection and deep learning algorithm

A soil and drought technology, applied in the field of image feature recognition in arid soil areas, can solve problems such as long labor time, high labor intensity, and low efficiency, and achieve the effects of reducing computing pressure, less data transmission volume, and reducing size

Pending Publication Date: 2022-05-27
CHENGDU UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

Effectively overcome the problem that the traditional crop irrigation technology is relatively backward in practical application, and can only be carried out manually. The l

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  • Soil drought identification method based on improved edge detection and deep learning algorithm
  • Soil drought identification method based on improved edge detection and deep learning algorithm
  • Soil drought identification method based on improved edge detection and deep learning algorithm

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Embodiment Construction

[0025] In order to make the purposes, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments These are some embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0026] The invention proposes a system for intelligently identifying soil arid areas. like Figure 1 to Figure 4 As shown in the figure, it includes an edge service module for collecting images, storing them, performing image processing, and then transmitting the processed images to the cloud server, and connecting with the edge se...

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Abstract

The invention relates to an image feature recognition method, in particular to an image feature recognition method for a soil drought region, which comprises the following steps of: acquiring an image, storing, processing the image, and transmitting a processing result to an edge server module of a cloud server; the cloud server module is in wireless communication connection with the edge server module and used for storing soil basic information and providing computing power, and the user side module is in wireless communication connection with the cloud server module and used for controlling and checking the edge server module, judging an area needing irrigation and taking irrigation measures. According to the technical scheme for monitoring the crop area and identifying the drought area, the defect that the agricultural production cost is greatly increased due to the fact that a traditional crop irrigation technology is backward, can only be manually carried out, cannot intelligently monitor the crop condition and cannot carry out fixed-point and fixed-area precise irrigation can be effectively overcome.

Description

technical field [0001] The present invention relates to a method for image feature identification, in particular to a method for image feature identification related to soil arid areas. Background technique [0002] my country is a country with a large agricultural production area, and the scale of crop planting is large. The corresponding crop irrigation operation is a very time-consuming and labor-intensive work in production. Most of the farmland irrigation canals still use the manual control and manual operation methods in the form of flood irrigation in the past, which not only takes a long time, but also is inefficient. Water resources are seriously wasted, and agricultural production costs are greatly increased, which will greatly hinder the water distribution of agricultural irrigation and the implementation of water-saving measures, which is not conducive to the development of my country's agriculture. [0003] Through global positioning technology and visual recogn...

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Application Information

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IPC IPC(8): G06V20/10G06V10/44G01N33/24
CPCG01N33/246Y02A40/22
Inventor 曾维王玥妲一徐玮杰
Owner CHENGDU UNIVERSITY OF TECHNOLOGY
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