Phenotypic Parameters Prediction of Lettuce based on Computer Vision and
Regression
- Minjuan Wang,
- Maowei Li,
- Wanwan Li,
- Jinsong Li,
- Ying Wang,
- Yu Zhang,
- Xiyue Guo,
- Minjuan Wang
Abstract
To obtain phenotypic parameters by means of lossy measurement, we
proposed a comprehensive and integrated approach to predict different
parameters of four varieties of lettuces. By building different
prediction models, we required predicted value of five phenotypic
parameters of lettuce. Test results indicate that prediction models we
have constructed are reliable and feasible. In addition,our methods can
be better transferred to the research of other crops, and producers can
adjust the growing environment of crops in time, so as to obtain higher
yield.