Multi-feature fusion-based drought identification method for corn early-stage image

Abstract

The invention belongs to the field of agricultural disasters and discloses a multi-feature fusion-based drought identification method for a corn early-stage image in order to judge drought conditions of plants in an early growth stage of corns, make preparations for subsequent work of agricultural workers, ensure sufficient water supply of the corns and normal growth of the plants, and prevent disasters. The method comprises the steps of firstly preprocessing an obtained corn plant image, and simulating sample conditions which possibly appear in a practical application to serve as expansion of an original sample set; secondly, combining obtained post-brightness adjustment samples and post-position change samples, and the original sample set to serve as a new sample set to perform subsequent processing, extracting three characteristics including a color, a singular value and a texture from the new sample set, performing dimension reduction processing on the characteristics by adopting a genetic algorithm, and constructing a characteristic database; and finally, selecting and using a least square support vector machine as a classifier to perform drought identification on the corn plants. The method is mainly used applied to the agricultural disaster identification occasions.

Description

technical field [0001] The invention belongs to the field of agricultural disaster recognition, and in particular relates to a multi-feature fused image drought recognition method in the early stage of corn. Background technique [0002] Image processing is a computer-related technology. It is a process of computing and processing images to achieve a certain purpose. Generally, image signals are converted into digital signals and processed by computers. In the early days of the development of image processing technology, it was mainly to improve human visual effects and image quality. With the rapid development of image processing technology, its technology has become very mature and has been widely used in many fields and industries, such as: criminal investigation technology, communication technology, medical imaging, biometrics, meteorology, etc. However, the application of digital image processing in agriculture is relatively lagging behind, but its impact on agricultur...

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Problems solved by technology

However, the application of digital image processing in agriculture is relatively lagging behind, but the impact on agriculture is gradually deepening

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