Plant diseases and insect pest information acquisition system and method

Abstract

The invention discloses a plant disease and insect pest information acquisition system and a method. The system comprises two colored CCD cameras, a camera fixing device, an image acquisition card, and a processer, wherein the two colored CCD cameras are used for acquiring plant images of plants to be measured; the camera fixing device is used for fixing the colored CCD cameras; the image acquisition card is connected with the colored CCD cameras and processer, used for gathering the plant images of the plants to be measured and inputs the plant images to the processor; the processor is used for processing the plant images so as to acquire the diseases and insect pest information of the plants to be measured. The invention acquires the images by a binocular vision method and puts forward anew plant diseases and insect pest information acquisition method aiming at the difficult point that space structural complexity, shadow noise generated by natural illumination, and disease information of the information acquisition system are close to the background color in the non structuring environment, thus realizing the evaluation on the plant disease and insect pest information acquisition and disease serious degree.

Description

technical field [0001] The invention relates to the field of plant disease and insect pest control, in particular to a system and method for obtaining plant disease and insect pest information. Background technique [0002] The monitoring and control of diseases and insect pests is an important issue in agricultural production. For example, cucumber is the most raw food vegetable planted in the greenhouse, and the damage of cucumber diseases and insect pests to cucumber growth and yield is very serious. In order to prevent the extensive use of pesticides and chemicals caused by diseases and insect pests, it not only pollutes the environment, but also causes a large number of fertilizers every year. The drug workers were poisoned. The common pest detection method used in the prior art requires sampling, measurement, data analysis, etc. in actual agricultural production, and has poor real-time performance, which cannot meet the actual needs of production practice, and subject...

AI Technical Summary

Problems solved by technology

For example, cucumber is the most raw food vegetable planted in the greenhouse, and the damage of cucumber diseases and insect pests to cucumber growth and yield is very serious. In order to prevent the extensive use of pesticides and chemicals caused by diseases and insect pests, it not only pollutes the environment, but also causes a large number of fertilizers every year. drug poisoning

The common pest detection method used in the prior art requires sampling, measurement, data analysis, etc. in actual agricultural production, and has poor real-time performance, which cannot meet the actual needs of production practice, and subjective factors such as the experience of observers are critical to the identification of diseases. There is a lot of uncertainty; and the detection method based on the molecular level has high professional requirements for operators, poor real-time performance, and high cost

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