Improving the Estimation of Apple Leaf Photosynthetic Pigment Content Using Fractional Derivatives and Machine Learning

Improving the Estimation of Apple Leaf Photosynthetic Pigment Content Using Fractional Derivatives and Machine Learning

As a key functional trait, leaf photosynthetic pigment content (LPPC) plays an important role in the health status monitoring and yield estimation of apples. Hyperspectral features including vegetation indices (VIs) and derivatives are widely used in retrieving vegetation biophysical parameters. The...

पूर्ण विवरण

ग्रंथसूची विवरण
मुख्य लेखकों: Jinpeng Cheng, Guijun Yang, Weimeng Xu, Haikuan Feng, Shaoyu Han, Miao Liu, Fa Zhao, Yaohui Zhu, Yu Zhao, Baoguo Wu, Hao Yang
स्वरूप: लेख
भाषा:English
प्रकाशित: MDPI AG 2022-06-01
श्रृंखला:Agronomy
विषय:
apple leaf
photosynthetic pigment content
fractional derivative
machine learning
hyperspectral data
ऑनलाइन पहुंच:https://www.mdpi.com/2073-4395/12/7/1497

इंटरनेट

https://www.mdpi.com/2073-4395/12/7/1497

समान संसाधन