Model construction method and system for rapidly detecting moisture condition of winter wheat plant and storage medium

The invention discloses a model construction method and system for rapidly detecting the moisture condition of winter wheat plants and a storage medium, and relates to the field of agricultural detection. The method comprises the following steps: respectively collecting wheat canopy hyperspectral data, canopy temperature parameters and plant water content; decomposing the hyperspectral data by using continuous wavelet transform, and eliminating redundant information by using a continuous projection algorithm; and fusing hyperspectral data and canopy temperature parameters screened by continuous wavelet transform and a continuous projection algorithm by using a GRA data fusion algorithm, and constructing a winter wheat plant water content (PWC) prediction model. The method provides a theoretical basis and technical support for rapid and nondestructive identification of the moisture condition of the winter wheat. 本发明公开了一种快速检测冬小麦植株水分状况的模型构建方法、系统及存储介质，涉及农业检测领域。本发明包括以下步骤：分别采集小麦冠层高光谱数据、冠层温度参数以及植株含水量；利用连续小波变换将高光谱数据分