Wheat phenological period real-time classification method based on unmanned aerial vehicle RGB image

Abstract

The invention provides a wheat phenological period real-time classification method based on an unmanned aerial vehicle RGB image, and the method comprises the steps: (1) obtaining a time sequence high-spatial-resolution RGB image according to the actual growth condition of a wheat field processed at different sowing periods, and carrying out the preprocessing of the image, and obtaining the unmanned aerial vehicle image of the same region in different years; (2) extracting spectral information and texture information of the time sequence unmanned aerial vehicle image, and deriving all spectral features and texture features as a feature complete set; (3) sorting all feature importance by a feature selection algorithm based on a compact-separation principle, and determining an optimal feature and a feature number; and (4) automatically classifying and identifying the features of different phenological stages by applying an mRVM classifier to obtain the overall classification precision and the classification precision of each period. The classification method constructed by the invention is simple and efficient, timely crop phenological information can be obtained, and a basis is provided for effectively guiding agricultural management decisions, such as irrigation, fertilization and pesticide management activities at a specific stage.

Description

technical field [0001] The invention belongs to the technical field of precision agriculture, and mainly relates to a wheat phenological period monitoring method, in particular to a wheat phenological period classification method based on RGB images and machine learning. Background technique [0002] Accurate information related to field management, including crop water consumption, phenology and yield data, is critical to managing crop growth with sustainable and precise farming practices. One aspect of farmland management involves phenological information of crops, which is one of the most important applications in agronomy. Phenological periods refer to seasonal biological life stages driven by environmental factors and are considered sensitive and precise indicators of climate change. In China, where warming has accelerated since the 1980s, affecting crop development and productivity, crop phenological monitoring can be used to measure climate change. Second, changes i...

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Problems solved by technology

The above method still has the most inevitable problem, that is, the phenological period can only be monitored from historical data at the end of the entire growth period, and there is a lag, which cannot provide timely guidance for field management

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