Automatic identification method of plant leaves damage symptom

Abstract

The invention relates to an automatic identification method of plant leaves damage symptom, which comprises the following steps: 1)obtaining target leaves image; 2)processing the target leaves image; 3)analyzing image differential and area standard colour value; 4)performing quadratic function regression analysis and regression parameter calculation according to the area image standard colour value; 5)calculating threshold parameter by using a variance analysis method; and 6) using optimization parameter for discriminant analysis of the plant leaves damage symptom. By using image measurement and computer identification technology, automatic discrimination of the plant leaves V type and inverted V type damage symptom can be realized, the damage mechanism is determined through the damage symptom, so that automatic identification method has important guidance effect for accurately and quantificationally the plant leaves V type and inverted V type damage symptom as well as damage source; and the automatic identification method is in favor of solution of nondeterminacy and controversy of the plant leaves damage symptom during scientific research and production, and has important theory and practical meaning for automatically determining calamity and disease such as plant leaves meteorology.

Description

technical field [0001] The invention relates to the technical field of symptom recognition of plant meteorological disasters and diseases, in particular to an automatic recognition method for "∧" and "∨" type damage symptoms of plant leaves. Background technique [0002] Throughout the research history of plants and trees and other disciplines, the more common damage symptoms of plant / tree leaves include leaf spots, ulcers, flowers and leaves, etc., and related computer recognition technologies have been reported. However, up to now, there has not been any related technology to quantitatively describe the damage symptoms of "∧" and "∨" type of plant leaves. [0003] In natural ecosystems, plants / trees often suffer from biotic and abiotic hazards. The harm caused by infectable biological organisms is called disease, while the harm caused by non-infectious environmental factors, such as drought, freezing damage, nutrient deficiency, etc., is called physiological disease. No ...

AI Technical Summary

Problems solved by technology

At present, IAIA can be measured using angle measurement tools, such as UTHSCSA ImageTool3.00, and can also be estimated visually, with 180 degrees as the criterion, and those that are greater than or equal to 180 degrees are "∧" type symptoms (such as Figure 1a shown), while those less than 180 degrees are "∨" type damage symptoms (such as Figure 1b shown) However, there is no technology to automatically identify IAIA by computer

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