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Phenotypic Parameters Prediction of Lettuce based on Computer Vision and Regression
  • +5
  • Minjuan Wang,
  • Maowei Li,
  • Wanwan Li,
  • Jinsong Li,
  • Ying Wang,
  • Yu Zhang,
  • Xiyue Guo,
  • Minjuan Wang
Minjuan Wang
China Agricultural University

Corresponding Author:[email protected]

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Maowei Li
China Agricultural University
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Wanwan Li
China Agricultural University
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Jinsong Li
China Agricultural University
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Ying Wang
China Agricultural University
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Yu Zhang
China Agricultural University
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Xiyue Guo
China Agricultural University
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Minjuan Wang
China Agricultural University
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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.