Wheat growing status diagnosing method based on mobile internet mode and leaf color analysis

A mobile Internet and growth state technology, applied in the field of image processing, can solve the problems of lack of preprocessing to eliminate the influence of light, unable to fully reflect the growth of crops, affecting the accuracy of plant leaf information, etc., to improve portability and efficiency. Popularity, favorable for promotion and application, and easy access to image information

CN103955938AActive Publication Date: 2014-07-30ANHUI AGRICULTURAL UNIVERSITY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2014-07-30

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Abstract

The invention discloses a wheat growing status diagnosing method based on a mobile internet mode and leaf color analysis. The method is characterized by comprising the following steps that an intelligent mobile phone collects wheat leaf images and sends the wheat leaf images to a background server, the background server removes illumination effects on the wheat leaf images to achieve pre-processed sample images, wheat growing status information and disease results can be achieved from the pre-processed sample images through a color analyzing method and are fed back to the intelligent mobile phone, and the intelligent mobile phone receives the growing status information and the disease results and displays the growing status information and the disease results. The wheat growing status diagnosing method can achieve and analyze the wheat leaf information in real time, can comprehensively reflect wheat growing situations, disease and insect situations and further improves the accuracy of wheat growing status diagnosis.
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Description

technical field

[0001] The invention relates to the field of image processing, in particular to a method for diagnosing wheat growth status based on mobile Internet models and leaf color analysis. Background technique

[0002] In the process of crop growth, plant leaves are one of the most important physiological organs of plants. The color change of leaves is closely related to the nitrogen content and chlorophyll content of crops, and the nitrogen content and chlorophyll content are also related to plant photosynthetic rate, nutrition conditions are closely related. The leaf water information can directly reflect the water status of the whole plant, thereby reflecting the water deficit of the plant, the physiological and biochemical reactions of the plant, and the growth and development status. In general, use chemical methods or special instruments to obtain crop leaf nitrogen content, chlorophyll content and other nutrient contents; use drying methods or special instrum...

Examples

Embodiment Construction

[0037] In this embodiment, a method for diagnosing the growth status of wheat based on the mobile Internet model and leaf color analysis, such as figure 1 As shown, proceed as follows:

[0038] Step A, the smart phone collects the wheat leaf image and transmits it to the background server. In this embodiment, the smart phone is used as the front end, mainly responsible for collecting and displaying the wheat leaf image, and the background server is responsible for image preprocessing, feature extraction and status diagnosis.

[0039] Step B. The background server uses the double homomorphic filtering method to eliminate the influence of light on the received wheat leaf image to obtain the preprocessed sample image. For the wheat leaf image transmitted to the front end, before obtaining various parameter information, it needs to For preprocessing, the main purpose of preprocessing with double homomorphic filtering is to eliminate or weaken the influence of light intensity on t...