Determination of the quantitative content of chlorophylls in leaves by reflection spectra using the random forest algorithm
Determining the quantitative content of chlorophylls in plant leaves by their reflection spectra is an important task both in monitoring the state of natural and industrial phytocenoses, and in laboratory studies of normal and pathological processes during plant growth. The use of machine learning m...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences
2021-03-01
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| Series: | Vavilovskij Žurnal Genetiki i Selekcii |
| Subjects: | |
| Online Access: | https://vavilov.elpub.ru/jour/article/view/2917 |