Classification of Rice Yield Using UAV-Based Hyperspectral Imagery and Lodging Feature

作     者：Jian Wang Bizhi Wu Markus VKohnen Daqi Lin Changcai Yang Xiaowei Wang Ailing Qiang Wei Liu Jianbin Kang Hua Li Jing Shen Tianhao Yao Jun Su Bangyu Li Lianfeng Gu 

作者机构：Institute of Crop SciencesNingxia Academy of Agriculture and Forestry ScienceYinchuanNingxia 750105China Basic Forestry and Proteomics Research CenterCollege of ForestryFujian Agriculture and Forestry UniversityFuzhou 350002China State Key Laboratory of Marine Environmental ScienceXiamen UniversityChina Digital Fujian Institute of Big Data for Agriculture and ForestryKey Laboratory of Smart Agriculture and ForestryFujian Agriculture and Forestry UniversityFuzhou 350002China Seed Workstations of the Ningxia Hui Autonomous RegionYinchuanNingxia 750004China Aerospace Information Research CenterInstitute of AutomationChinese Academic ScienceBeijing 100190China 

出 版 物：《Plant Phenomics》 (植物表型组学（英文）)

年 卷 期：2021年第3卷第1期

页      面：115-128页

核心收录：

学科分类：0501[文学-中国语言文学] 0303[法学-社会学] 0710[理学-生物学] 0502[文学-外国语言文学] 0601[历史学-考古学] 1302[艺术学-音乐与舞蹈学] 1301[艺术学-艺术学理论] 09[农学] 0901[农学-作物学] 

基　　金：Agreement on Functional Gene-Mining and Selection of Superior Crop Performances to Lianfeng Gu,Digital Fujian Institute of Big Data for Agriculture and Forestry,Fujian Agriculture and Forestry University(KJG18019A08 to Bizhi Wu) Autonomous Region Key R&D Program(Special Talent Application 2018BEB04002) Innovation Team of Intelligence Assisted Phenotypic Analysis for Ningxia Crop,and Agricultural Breeding in Ningxia Hui Autonomous Region(2018NYYZ03 to Jian Wang) 

主　　题：breeding equipped consuming 

摘      要：High-yield rice cultivation is an effective way to address the increasing food demand *** classification of high-yield rice is a key step of ***,manual measurements within breeding programs are time consuming and have high cost and low throughput,which limit the application in large-scale field *** this study,we developed an accurate large-scale approach and presented the potential usage of hyperspectral data for rice yield measurement using the XGBoost algorithm to speed up the rice breeding process for many *** total,13 japonica rice lines in regional trials in northern China were divided into different categories according to the manual measurement of *** an Unmanned Aerial Vehicle(UAV)platform equipped with a hyperspectral camera to capture images over multiple time series,a rice yield classification model based on the XGBoost algorithm was *** comparison experiments were carried out through the intraline test and the interline test considering lodging characteristics at the midmature stage or *** result revealed that the degree of lodging in the midmature stage was an important feature affecting the classification accuracy of ***,we developed a low-cost,high-throughput phenotyping and nondestructive method by combining UAV-based hyperspectral measurements and machine learning for estimation of rice yield to improve rice breeding efficiency.