Prediction of stem diameter variations based on principal component regression

被引：0

作者：

Yun, Yuliang ^{[1
,2
]}

Sheng, Wenyi ^{[1
]}

机构：

[1] College of Information and Electrical Engineering, China Agricultural University, Beijing

[2] College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao

来源：

Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery | 2015年 / 46卷 / 01期

关键词：

Dynamics; Prediction; Principal component analysis; Regression; Stem diameter;

D O I：

10.6041/j.issn.1000-1298.2015.01.043

中图分类号：

学科分类号：

摘要：

Among the various factors affecting the variation of plant stem diameter, meteorological conditions and soil water content are very important ones, besides natural growth. Soil water content together with four main meteorological parameters in greenhouse, including air temperature, relative humidity, pressure and photosynthetically active radiation, were selected for observing with four sunflower samples and two tomato samples at late stage of growth. Using part of the data measured from one sunflower sample, the principal component analysis was performed to set up a regression model. Data from sunflower samples and tomato samples were input to the model to predict the stem diameter variations of the sunflower samples and tomato samples and compared with the observed stem diameter variations. Comparison results showed that the regression model had a good prediction for the dynamics of stem diameter variations in sunflowers and tomatoes at late growth stage. The coefficients of determination in correlation analysis were above 0.6 and reached 0.649~0.782, while the root mean square errors were 0.029~0.143. ©, 2014, Chinese Society of Agricultural Machinery. All right reserved.

引用

页码：306 / 314

页数：8

共 34 条

[1]

Zweifel R., Zimmermann L., Newbery D.M., Modeling tree water deficit from microclimate: an approach to quantifying drought stress, Tree Physiology, 25, 2, pp. 147-156, (2005)

[2]

Bouriaud O., Leban J.M., Bert D., Et al., Intra-annual variations in climate influence growth and wood density of Norway spruce, Tree Physiology, 25, 6, pp. 651-660, (2005)

[3]

Galindoa A., Rodriguez P., Mellisho C.D., Et al., Assessment of discretely measured indicators and maximum daily trunk shrinkage for detecting water stress in pomegranate trees, Agricultural and Forest Meteorology, 180, pp. 58-65, (2013)

[4]

Rosa J.M., Conesa M.R., Domingo R., Et al., Feasibility of using trunk diameter fluctuation and stem water potential reference lines for irrigation scheduling of early nectarine trees, Agricultural Water Management, 126, 8, pp. 133-141, (2013)

[5]

Morianaa A., Corell M., Giron I.F., Et al., Regulated deficit irrigation based on threshold values of trunk diameter fluctuation indicators in table olive trees, Scientia Horticulturae, 164, 12, pp. 102-111, (2013)

[6]

Goldhamer D.A., Fereres E., Irrigation scheduling protocols using continuously recorded trunk diameter measurements, Irrigation Science, 20, 3, pp. 115-125, (2001)

[7]

Gallardo M., Thompson R.B., Valdez L.C., Et al., Use of stem diameter variations to detect plant water stress in tomato, Irrigation Science, 24, 4, pp. 241-255, (2006)

[8]

Fernandez J.E., Cuevas M.V., Irrigation scheduling from stem diameter variations: a review, Agricultural and Forest Meteorology, 150, 2, pp. 135-151, (2010)

[9]

Fernandez J.E., Torres-Ruiz J.M., Diaz-Espejo A., Et al., Use of maximum trunk diameter measurements to detect water stress in mature 'Arbequina' olive trees under deficit irrigation, Agricultural Water Management, 98, 12, pp. 1813-1821, (2011)

[10]

Schepper V.D., Dusschoten D.V., Copini P., Et al., MRI links stem water content to stem diameter variations in transpiring trees, Journal of Experimental Botany, 63, 7, pp. 2645-2653, (2012)

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