Simulating Canopy Temperature Using a Random Forest Model to Calculate the Crop Water Stress Index of Chinese Brassica

The determination of crop water status has positive effects on the Chinese Brassica industry and irrigation decisions. Drought can decrease the production of Chinese Brassica, whereas over-irrigation can waste water. It is desirable to schedule irrigation when the crop suffers from water stress. In...

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Autores principales:	Mingxin Yang, Peng Gao, Ping Zhou, Jiaxing Xie, Daozong Sun, Xiongzhe Han, Weixing Wang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	Chinese Brassica canopy temperature crop water stress index stomatal conductance random forest Agriculture S
Acceso en línea:	https://doaj.org/article/1cb93c4db9c34ca5a496e00b6ba2c38e
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spelling	oai:doaj.org-article:1cb93c4db9c34ca5a496e00b6ba2c38e2021-11-25T16:08:23ZSimulating Canopy Temperature Using a Random Forest Model to Calculate the Crop Water Stress Index of Chinese Brassica10.3390/agronomy111122442073-4395https://doaj.org/article/1cb93c4db9c34ca5a496e00b6ba2c38e2021-11-01T00:00:00Zhttps://www.mdpi.com/2073-4395/11/11/2244https://doaj.org/toc/2073-4395The determination of crop water status has positive effects on the Chinese Brassica industry and irrigation decisions. Drought can decrease the production of Chinese Brassica, whereas over-irrigation can waste water. It is desirable to schedule irrigation when the crop suffers from water stress. In this study, a random forest model was developed using sample data derived from meteorological measurements including air temperature (Ta), relative humidity (RH), wind speed (WS), and photosynthetic active radiation (Par) to predict the lower baseline (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>T</mi><mrow><mi>w</mi><mi>e</mi><mi>t</mi></mrow></msub></mrow></semantics></math></inline-formula>) and upper baseline (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>T</mi><mrow><mi>d</mi><mi>r</mi><mi>y</mi></mrow></msub></mrow></semantics></math></inline-formula>) canopy temperatures for Chinese Brassica from 27 November to 31 December 2020 (E1) and from 25 May to 20 June 2021 (E2). Crop water stress index (CWSI) values were determined based on the predicted canopy temperature and used to assess the crop water status. The study demonstrated the viability of using a random forest model to forecast <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>T</mi><mrow><mi>w</mi><mi>e</mi><mi>t</mi></mrow></msub></mrow></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>T</mi><mrow><mi>d</mi><mi>r</mi><mi>y</mi></mrow></msub></mrow></semantics></math></inline-formula>. The coefficients of determination (R<sup>2</sup>) in E1 were 0.90 and 0.88 for development and 0.80 and 0.77 for validation, respectively. The R<sup>2</sup> values in E2 were 0.91 and 0.89 for development and 0.83 and 0.80 for validation, respectively. Our results reveal that the measured and predicted CWSI values had similar R<sup>2</sup> values related to stomatal conductance (~0.5 in E1, ~0.6 in E2), whereas the CWSI showed a poor correlation with transpiration rate (~0.25 in E1, ~0.2 in E2). Finally, the methodology used to calculate the daily CWSI for Chinese Brassica in this study showed that both <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>T</mi><mrow><mi>w</mi><mi>e</mi><mi>t</mi></mrow></msub></mrow></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>T</mi><mrow><mi>d</mi><mi>r</mi><mi>y</mi></mrow></msub></mrow></semantics></math></inline-formula>, which require frequent measuring and design experiment due to the trial site and condition changes, have the potential to simulate environmental parameters and can therefore be applied to conveniently calculate the CWSI.Mingxin YangPeng GaoPing ZhouJiaxing XieDaozong SunXiongzhe HanWeixing WangMDPI AGarticleChinese Brassicacanopy temperaturecrop water stress indexstomatal conductancerandom forestAgricultureSENAgronomy, Vol 11, Iss 2244, p 2244 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Chinese Brassica canopy temperature crop water stress index stomatal conductance random forest Agriculture S
spellingShingle	Chinese Brassica canopy temperature crop water stress index stomatal conductance random forest Agriculture S Mingxin Yang Peng Gao Ping Zhou Jiaxing Xie Daozong Sun Xiongzhe Han Weixing Wang Simulating Canopy Temperature Using a Random Forest Model to Calculate the Crop Water Stress Index of Chinese Brassica
description	The determination of crop water status has positive effects on the Chinese Brassica industry and irrigation decisions. Drought can decrease the production of Chinese Brassica, whereas over-irrigation can waste water. It is desirable to schedule irrigation when the crop suffers from water stress. In this study, a random forest model was developed using sample data derived from meteorological measurements including air temperature (Ta), relative humidity (RH), wind speed (WS), and photosynthetic active radiation (Par) to predict the lower baseline (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>T</mi><mrow><mi>w</mi><mi>e</mi><mi>t</mi></mrow></msub></mrow></semantics></math></inline-formula>) and upper baseline (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>T</mi><mrow><mi>d</mi><mi>r</mi><mi>y</mi></mrow></msub></mrow></semantics></math></inline-formula>) canopy temperatures for Chinese Brassica from 27 November to 31 December 2020 (E1) and from 25 May to 20 June 2021 (E2). Crop water stress index (CWSI) values were determined based on the predicted canopy temperature and used to assess the crop water status. The study demonstrated the viability of using a random forest model to forecast <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>T</mi><mrow><mi>w</mi><mi>e</mi><mi>t</mi></mrow></msub></mrow></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>T</mi><mrow><mi>d</mi><mi>r</mi><mi>y</mi></mrow></msub></mrow></semantics></math></inline-formula>. The coefficients of determination (R<sup>2</sup>) in E1 were 0.90 and 0.88 for development and 0.80 and 0.77 for validation, respectively. The R<sup>2</sup> values in E2 were 0.91 and 0.89 for development and 0.83 and 0.80 for validation, respectively. Our results reveal that the measured and predicted CWSI values had similar R<sup>2</sup> values related to stomatal conductance (~0.5 in E1, ~0.6 in E2), whereas the CWSI showed a poor correlation with transpiration rate (~0.25 in E1, ~0.2 in E2). Finally, the methodology used to calculate the daily CWSI for Chinese Brassica in this study showed that both <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>T</mi><mrow><mi>w</mi><mi>e</mi><mi>t</mi></mrow></msub></mrow></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>T</mi><mrow><mi>d</mi><mi>r</mi><mi>y</mi></mrow></msub></mrow></semantics></math></inline-formula>, which require frequent measuring and design experiment due to the trial site and condition changes, have the potential to simulate environmental parameters and can therefore be applied to conveniently calculate the CWSI.
format	article
author	Mingxin Yang Peng Gao Ping Zhou Jiaxing Xie Daozong Sun Xiongzhe Han Weixing Wang
author_facet	Mingxin Yang Peng Gao Ping Zhou Jiaxing Xie Daozong Sun Xiongzhe Han Weixing Wang
author_sort	Mingxin Yang
title	Simulating Canopy Temperature Using a Random Forest Model to Calculate the Crop Water Stress Index of Chinese Brassica
title_short	Simulating Canopy Temperature Using a Random Forest Model to Calculate the Crop Water Stress Index of Chinese Brassica
title_full	Simulating Canopy Temperature Using a Random Forest Model to Calculate the Crop Water Stress Index of Chinese Brassica
title_fullStr	Simulating Canopy Temperature Using a Random Forest Model to Calculate the Crop Water Stress Index of Chinese Brassica
title_full_unstemmed	Simulating Canopy Temperature Using a Random Forest Model to Calculate the Crop Water Stress Index of Chinese Brassica
title_sort	simulating canopy temperature using a random forest model to calculate the crop water stress index of chinese brassica
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/1cb93c4db9c34ca5a496e00b6ba2c38e
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Simulating Canopy Temperature Using a Random Forest Model to Calculate the Crop Water Stress Index of Chinese Brassica

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