title: [Study on NPLS model with three-dimensional hyperspectrum for assessing per-mu-yield of winter wheat].
abstract: The present study piled a cube array with the winter wheat's cap reflection hyperspectra sampled from 35 experimental districts during 8 growth periods, and then used a multiway partial least squares (NPLS) algorithm to establish a model to assess the per-mu-yield of winter wheat. The model was used to predict the per-mu-yields of other 13 experimental districts. The correlation coefficient of predicted and actual values was 0.9366, and the mean relative error was 4.44%. These results showed a good prediction of the model. The study has guiding meaning to actual yield assessment.
authors.affiliation: College of Science, China Agricultural University, Beijing 100094, China.
authors.forename: Tao
authors.initials: T
authors.lastname: Wang
authors.forename: Lu-da
authors.initials: LD
authors.lastname: Zhang
authors.forename: Cai-lian
authors.initials: CL
authors.lastname: Lao
authors.forename: Long-lian
authors.initials: LL
authors.lastname: Zhao
authors.forename: Jun-hui
authors.initials: JH
authors.lastname: Li
authors.forename: Zhong-yi
authors.initials: ZY
authors.lastname: Wang
authors.forename: Wen-jiang
authors.initials: WJ
authors.lastname: Huang
authors.forename: Ji-hua
authors.initials: JH
authors.lastname: Wang
authors.forename: Yan-lu
authors.initials: YL
authors.lastname: Yan