Modeling the Kinematic Response of Rice under Near-Ground Wind Fields Using the Finite Element Method

Author:

Hu Xiaodan1,Li Huifen2,Wu Han1,Long Bo1,Liu Zhijie1,Wei Xu1,Li Jiyu1ORCID

Affiliation:

1. College of Engineering, South China Agricultural University, Guangzhou 510642, China

2. Rice Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China

Abstract

Plant protection drones are commonly encountered in agricultural fields. Their downwash airflow can agitate flexible crops (e.g., rice and wheat) or even cause wind-induced losses. To predict the wind-induced responses of rice under wind fields, herein, a wind-induced rice response model (RWRM) was proposed using the finite element method. With the RWRM, the rice displacement and critical wind speed (CWS) were calculated at different wind speeds, considering the morphological and mechanical properties of rice, and the accuracy was experimentally verified and compared to that of an existing model. The results indicated that the mean paired difference and mean error in rice displacement amplitude prediction under 2~5 m/s wind speeds were 13.48 mm and 42.46 mm, respectively, and the predicted and measured values were highly correlated at the 1% significance level. Moreover, the CWS values for four rice species could be calculated with the model with an average of 3.57 m/s, and the difference between the simulated and theoretical values was 0.368. The strength of the wind-induced rice responses was primarily correlated with the mechanical properties, and to a lesser extent the morphology. The rice yield has a negative correlation with rice responses. Within a certain range, a bigger displacement and lower CWS could result in a higher rice yield. The RWRM achieved favorable modeling accuracy for the wind-induced responses of rice and could provide a simulation reference for balancing the wind-induced loss and rice yield.

Funder

Guangzhou Municipal Science and Technology Project

Basic and Applied Basic Research Foundation of Guangdong Province

Publisher

MDPI AG

Subject

Agronomy and Crop Science

Reference29 articles.

1. (2022, February 26). Crops and Livestock Products. Available online: https://www.fao.org/faostat/en/#data/QCL/visualize.

2. An Overview of Global Rice Production, Supply, Trade, and Consumption;Muthayya;Ann. N. Y. Acad. Sci.,2014

3. Effects of Wind on Plants;Langre;Annu. Rev. Fluid Mech.,2008

4. Review: Wind Impacts on Plant Growth, Mechanics and Damage;Gardiner;Plant Sci.,2016

5. Evaluation of Lodging Resistance in Rice Based on an Optimized Parameter from Lodging Index;Luo;Crop Sci.,2022

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3