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英语幽默故事Comparison of Machine and Deep Learning Methods to Estimate Shrub Willow Biomass from
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UAS Imagery
期刊名称： Canadian Journal of Remote Sensing
usually的用法>芦荟的英文
作者： Bahram Salehi,Haifa Tamiminia,Masoud Mahdianparifool是什么意思
年份： 2021年
期号： 第2期
摘要：Shrub willow is considered an important dedicated energy crop in temperate climates for the production of bioenergy, biofuels, and bio-bad products. A methodology to rapidly and accurately estimate above-ground biomass (AGB) is esntial for understanding potential biomass supply, identifying potential growth limitations, and making management decisions. The main objective of this study was to investigate different statistical, machine learning, and deep learning models to estimate shrub willow AGB at a site in Camillus, NY using multi-spectral unmanned aerial system (UAS) imagery.
yinwa The efficiency of the convolutional neural network (CNN) deep learning algorithm was compared to the well-known methods including linear regression, decision tree (DT), random forest (RF), and support vector regression (SVR). The RF model estimated nkey
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