Analysis of influencing factors of tobacco growth based on multiple regression

doi:10.14088/j.cnki.issn0439-8114.2022.19.018

Abstract

Abstract: The NDVI value of tobacco was obtained by GreenSeeker spectrometer, and the values of tobacco growth environmental impact factors such as soil temperature, soil humidity, atmospheric temperature, wind speed, outdoor humidity and solar radiation were collected. Partial least square regression, stepwise regression and ridge regression models were established to explore the impact of environmental impact factors on the NDVI value of tobacco growth. The purpose was to find a good method to predict the NDVI value of tobacco, so as to understand the growth trend of tobacco more quickly and accurately. The results showed that soil temperature, atmospheric temperature and outdoor humidity played decisive roles in the NDVI value of tobacco growth. According to the determination coefficient R² of the above regression models, it is concluded that the prediction accuracy of the partial least squares method is the highest, followed by ridge regression, and the prediction accuracy of stepwise regression is relatively poor.

Key words: tobacco growth, growth environment influencing factors, NDVI, multiple regression analysis

CLC Number:

S572

NONG Ying-xiong, CHEN Zhi-bin, HUANG Cong, PAN Jian, LIANG Dong, WEI Yi, LI Zhe, ZHOU Zhao-feng, LU Ying. Analysis of influencing factors of tobacco growth based on multiple regression[J]. HUBEI AGRICULTURAL SCIENCES, 2022, 61(19): 92-96.

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