ass日本风韵熟妇pics男人扒开女人屁屁桶到爽|扒开胸露出奶头亲吻视频|邻居少妇的诱惑|人人妻在线播放|日日摸夜夜摸狠狠摸婷婷|制服 丝袜 人妻|激情熟妇中文字幕|看黄色欧美特一级|日本av人妻系列|高潮对白av,丰满岳妇乱熟妇之荡,日本丰满熟妇乱又伦,日韩欧美一区二区三区在线

Aiming to research the data mining technology in remote sensing monitoring. The LM algorithm was used in the soil surface layer (about 1cm) of soil moisture measurement (soil moisture content, SMC). Three kinds of soil, including yellow spongy, loess and red clay were selected. The soil water content samples of 0, 6%, 10%, 14%, 18% and 22% were prepared respectively. Visible light images were taken during 09:00—10:00 and 15:00—16:00, and image brightness was gradiently processed for simulating the change of light throughout the day. LM algorithm was compared with back propagation (BP) algorithm and classification and regression trees (CART) algorithm to verify the practical effect of LM. It was showed that the LM algorithm had a good application effect for the data mining based on the RGB color moment of soil pictures. The determination coefficient of the regression model for yellow spongy, loess and red clay was 0.958, 0.943 and 0.949, root mean square error (RMSE) was 1.6%, 2.0% and 1.9%, and the relative analysis error (RPD) was 4.873, 4.183 and 4.440, respectively. By the study of pictures at different intensities, LM algorithm can be used for monitoring soil moisture content of samples. It can be used for the soil surface (about 1cm) moisture content measurement.