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Principal variable selection to explain grain yield variation in winter wheat from features extracted from UAV imagery

机译：利用从无人机影像中提取的特征来解释冬小麦籽粒产量变化的主变量选择

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摘要

Field location and layout. The field was located in eastern Nebraska, USA (left). Cyan line indicates the flight path, and yellow rectangles indicate the studied 170 plots (right). The map was generated using images collected on April 27, 2018

机译：现场位置和布局。该油田位于美国内布拉斯加州东部（左）。青色线表示飞行路线，黄色矩形表示所研究的170个地块（右）。该地图是使用2018年4月27日收集的图像生成的

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期刊名称 Plant Methods
作者
Jiating Li; Arun-Narenthiran Veeranampalayam-Sivakumar; Madhav Bhatta; Nicholas D. Garst; Hannah Stoll; P. Stephen Baenziger; Vikas Belamkar; Reka Howard; Yufeng Ge; Yeyin Shi;
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年(卷),期 2019(15),-1
年度 2019
页码 -1
总页数 13
原文格式 PDF
正文语种
中图分类
关键词
Unmanned aerial vehicle; Phenotyping; Yield prediction; LASSO; Random forest; Ridge regression; SVM;

机译：无人机;分型;产量预测;LASSO;随机森林;里奇回归;SVM;

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专利

1. Principal variable selection to explain grain yield variation in winter wheat from features extracted from UAV imagery [J] . Jiating Li, Arun-Narenthiran Veeranampalayam-Sivakumar, Madhav Bhatta, Plant methods . 2019,第1期

机译：利用从无人机影像中提取的特征来解释冬小麦籽粒产量变化的主变量选择
2. Predicting within-field variability in grain yield and protein content of winter wheat using UAV-based multispectral imagery and machine learning approaches [J] . Xinbin Zhou, Yusuke Kono, Aung Win, Plant Production Science . 2021,第2期

机译：基于UV的多光谱图像和机器学习方法预测冬小麦籽粒产量和蛋白质含量的现场变异性
3. Variation for and relationships among biomass and grain yield component traits conferring improved yield and grain weight in an elite wheat population grown in variable yield environments [J] . Rattey Allan, Shorter Ray, Chapman Scott, Crop & Pasture Science . 2009,第8期

机译：在可变产量环境下生长的优质小麦群体中，生物量和籽粒产量构成特征的变异及其相互关系，从而提高了产量和粒重
4. Principal Variable Selection to Explain Grain Yield Variation in Winter Wheat from UAV-derived Phenotypic Traits [C] . American Society of Agricultural and Biological Engineers Annual International Meeting . 2019

机译：主要变量选择解释冬小麦衍生表型特征的冬小麦粮食产量变异
5. Determination of Optimum Fall and Spring Nitrogen Fertilizer Rate for Maximizing Grain Yield of Soft Red Winter Wheat Sown at Variable Planting Dates. [D] . Vieira, Lucas V. 2016

机译：确定最佳秋季和春季氮肥用量，以最大限度地提高可变播种期播种的软红冬小麦的籽粒产量。
6. Gains through selection for grain yield in a winter wheat breeding program [O] . Dennis N. Lozada, Brian P. Ward, Arron H. Carter 2020

机译：通过选择冬小麦养殖计划中的粮食产量获得
7. Integration of crop growth model and random forest for winter wheat yield estimation from UAV hyperspectral imagery [O] . Siqi Yang, Ling Hu, Haobo Wu, 2021

机译：无人机高光谱图像冬小麦产量估算作物生长模型与随机林的整合

Principal variable selection to explain grain yield variation in winter wheat from features extracted from UAV imagery

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