Wheat Grain Yield Estimation Based on Image Morphological Properties and Wheat Biomass
Joint Authors
Okinda, Cedric
Korohou, Tchalla
Li, Haikang
Cao, Yifei
Nyalala, Innocent
Huo, Lianfei
Potcho, Mouloumdèma
Ding, Qishuo
Li, Xiang
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-12
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
The estimation of wheat grain yield based on a composite of morphological features and mass of wheat organs was introduced in this study.
The morphological features (length, width, and perimeter for the wheat stem and ear) were extracted by a computer vision system whose performance was evaluated by correlating the measured and estimated perimeter and length of the wheat stem at an R2 of 0.9609 and 0.9779, respectively.
Six regression models were developed based on the extracted features.
The linear regression based on the wet weight of the stem, the ear, and the leaves outperformed all the other statistical models explored with an R2 of 0.9893 and an RMSE of 0.0684 mm in estimating the dry grain yield with wet wheat organ mass as the predictors.
This proposed system can be applied as nondestructive in a field technique for wheat phenotyping.
Additionally, it can be applied to other similar crops.
American Psychological Association (APA)
Korohou, Tchalla& Okinda, Cedric& Li, Haikang& Cao, Yifei& Nyalala, Innocent& Huo, Lianfei…[et al.]. 2020. Wheat Grain Yield Estimation Based on Image Morphological Properties and Wheat Biomass. Journal of Sensors،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1190348
Modern Language Association (MLA)
Korohou, Tchalla…[et al.]. Wheat Grain Yield Estimation Based on Image Morphological Properties and Wheat Biomass. Journal of Sensors No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1190348
American Medical Association (AMA)
Korohou, Tchalla& Okinda, Cedric& Li, Haikang& Cao, Yifei& Nyalala, Innocent& Huo, Lianfei…[et al.]. Wheat Grain Yield Estimation Based on Image Morphological Properties and Wheat Biomass. Journal of Sensors. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1190348
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1190348