HIGHLIGHTS
- who: Liuru Pu from the CollegeF University have published the Article: A photosynthetic rate prediction model using improved RBF neural network, in the Journal: Scientific Reports Scientific Reports of 18/01/2022
- what: Under application requirements of environment light optimization control for protected agriculture, we consider the influence of light quality on crop photosynthetic rate and propose the photosynthetic rate modeling method based on QGA-RBF.
- how: This paper proposes a method of QGA-RBF to build photosynthetic rate model which selects the best spread of RBF neural_network by QGA.
SUMMARY . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.