Method for monitoring crop disease and comprehensively evaluating degree of disease by virtue of infrared image

Abstract

The invention discloses a method for monitoring a crop disease and comprehensively evaluating the degree of the disease by virtue of an infrared image, and belongs to an optical nondestructive early crop disease monitoring method. The method comprises the following steps: shooting the whole crop or shooting all crops in a certain planting region to obtain an infrared image of a monitoring object; calculating the average temperature of all pixels of the monitoring object, the low-temperature area sum of low-temperature pixels, the high-temperature area sum of high-temperature pixels and the total temperature area of all the pixels according to the infrared image respectively, and calculating the ratio of the low-temperature area sum to the total temperature area; taking the ratio as a comprehensive valuation parameter for the degree of the crop disease. According to the method, an early disease imperceptible for eyes can be nondestructively and accurately identified on line, and the detection and analysis time and cost can be reduced; the method can also be used for comprehensive evaluation for nondestructive monitoring of the health condition of the crop.

Description

technical field [0001] The invention relates to a method for monitoring early crop diseases and comprehensively evaluating the degree of disease infection and the distribution of disease infection areas, in particular to a method for using infrared images to monitor crop diseases and comprehensively evaluate the degree of disease; it belongs to the field of optical non-destructive detection of early crop diseases Detection method. Background technique [0002] As we all know, how to timely and accurately identify the early crop diseases and insect pests is the key to effective control of crop diseases and insect pests. At present, the following methods are usually used: one is to compare agricultural diseases and insect pest maps. Although this method is more intuitive, it is not accurate enough. The second is to conduct comprehensive judgment and identification with the help of agricultural diseases and insect pests. This method is accurate, but requires strong professiona...

AI Technical Summary

Problems solved by technology

At present, the following methods are usually used: one is to compare agricultural diseases and insect pest maps. Although this method is more intuitive, it is not accurate enough

The second is to conduct comprehensive judgment and identification with the help of agricultural diseases and insect pests. This method is accurate, but requires strong professional knowledge; and the types are incomplete, and the reading speed is slow

The third is to use the classification retrieval table. This method is the most accurate and fast, but it is only suitable for plant protection professionals; and it lacks life history, occurrence rules, prediction and description of control methods, etc.

The above-mentioned traditional monitoring methods are not only time-consuming and labor-intensive, easily affected by technical experience and subjective factors, but also lag in obtaining information, which seriously affects the accuracy of disease and pest forecasting.

[0003] Optical microscope technology, transmission electron microscope technology, bioassay technology, serological technology, etc. can carry out accurate detection, but it takes a lot of time and cost, and requires professional personnel to operate; therefore, it is difficult to apply it in the field to monitor crop diseases and insect pests. On-line monitoring and comprehensive evaluation of disease degree and spreading trend

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