Prediction of Nitrogen, Phosphorus, and Potassium Contents in Apple Tree Leaves Based on In-Situ Canopy Hyperspectral Reflectance Using Stacked Ensemble Extreme Learning Machine Model-Reference-Cited by-同舟云学术

Prediction of Nitrogen, Phosphorus, and Potassium Contents in Apple Tree Leaves Based on In-Situ Canopy Hyperspectral Reflectance Using Stacked Ensemble Extreme Learning Machine Model

Published:2021-10-04 Issue: Volume: Page:
ISSN:0718-9508
Container-title:Journal of Soil Science and Plant Nutrition
language:en
Short-container-title:J Soil Sci Plant Nutr

Author:

Chen Shaomin,Hu Tiantian,Luo Lihua,He Qiong,Zhang Shaowu,Lu Junsheng

Funder

the National Key Research and Development Program of China

Publisher

Springer Science and Business Media LLC

Subject

Plant Science,Soil Science,Agronomy and Crop Science

Link

https://link.springer.com/content/pdf/10.1007/s42729-021-00629-3.pdf

Reference49 articles.

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5. Chen PF (2015) A comparison of two approaches for estimating the wheat nitrogen nutrition index using remote sensing. Remote Sens 7:4527–4548. https://doi.org/10.3390/rs70404527

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