Dissection of Hyperspectral Reflectance to Estimate Photosynthetic Characteristics in Upland Cotton (<i>Gossypium hirsutum</i> L.) under Different Nitrogen Fertilizer Application Based on Machine Learning Algorithms

Dissection of Hyperspectral Reflectance to Estimate Photosynthetic Characteristics in Upland Cotton (<i>Gossypium hirsutum</i> L.) under Different Nitrogen Fertilizer Application Based on Machine Learning Algorithms

Hyperspectral technology has enabled rapid and efficient nitrogen monitoring in crops. However, most approaches involve direct monitoring of nitrogen content or physiological and biochemical indicators directly related to nitrogen, which cannot reflect the overall plant nutritional status. Two impor...

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Bibliographic Details
Main Authors: Peng Han, Yaping Zhai, Wenhong Liu, Hairong Lin, Qiushuang An, Qi Zhang, Shugen Ding, Dawei Zhang, Zhenyuan Pan, Xinhui Nie
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Plants
Subjects:
cotton
nitrogen monitoring
absorbed photosynthetically active radiation
net photosynthetic rate
remote sensing monitoring
machine learning algorithms models
Online Access:https://www.mdpi.com/2223-7747/12/3/455

Internet

https://www.mdpi.com/2223-7747/12/3/455

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