您好，欢迎访问江西省农业科学院 机构知识库！

Evaluation of grain yield based on digital images of rice canopy

文献类型： 外文期刊

作者： Liu, Kailou 1 ; Li, Yazhen 1 ; Han, Tianfu 3 ; Yu, Xichu 1 ; Ye, Huicai 1 ; Hu, Huiwen 1 ; Hu, Zhihua 1 ;

作者机构： 1.Ctr Red Soil Improvement, Jiangxi Inst Red Soil Natl Engn & Technol Res, Nanchang 331717, Jiangxi, Peoples R China

2.Minist Agr, Sci Observat & Expt Stn Arable Land Conservat Jia, Nanchang 331717, Jiangxi, Peoples R China

3.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Natl Engn Lab Improving Qual Arable Land, Beijing 100081, Peoples R China

关键词： Digital camera; Rice canopy; Yield prediction; Late filling stage

期刊名称：PLANT METHODS （ 影响因子：4.993； 五年影响因子：5.312 ）

ISSN： 1746-4811

年卷期： 2019 年 15 卷

页码：

收录情况： SCI

摘要： BackgroundRice canopy changes are associated with changes in the red light (R), green light (G), and blue light (B) value parameters of digital images. To rapidly diagnose the responses of rice to nitrogen (N) fertilizer application and planting density, a simple model based on digital images was developed for predicting and evaluating rice yield.ResultsN application rate and planting density had significant effects on rice yield. Rice yield first increased and then decreased with increasing of N rates, while the rice yield always increased significantly with increasing planting density. The normalized redness intensity (NRI), normalized greenness intensity (NGI), and normalized blueness intensity (NBI) values of the rice canopy varied among stages; however, they were primarily affected by N fertilizer rates, while planting density had no significant effects. Furthermore, the significant relationships of grain yield with NRI and NBI at the late filling stage could be fitted by quadratic equations, but there was no significant relationship observed between grain yield and NGI across all stages. In addition, a field validation experiment showed that the predicted yield based on the fitted quadratic equations was consistent with the measured yield.ConclusionThe NRI, NGI, and NBI values of rice canopy were mainly affected by N fertilizer rates, while the planting density had no significant effect. The significant relationships between grain yield with NRI and NBI at the late filling stage could be fitted by quadratic equations. Therefore, the canopy NRI and NBI at the late filling stage as measured by digital photography could be used to predict grain yield in southern China.

  • 相关文献
作者其他论文 更多>>
置顶
购物车
反馈

© 京ICP备09089781号-29 主办单位：江西省农业科学院

学术资源： 中国农业科学院 农业专业知识服务系统 农科联盟资源共建共享平台 中国农业科技文献与信息服务平台 中国农业期刊集成服务平台