Prediction of winter wheat leaf chlorophyll content based on <scp>VIS</scp> / <scp>NIR</scp> spectroscopy using <scp>ANN</scp> and <scp>PLSR</scp>-Reference-Cited by-同舟云学术

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Prediction of winter wheat leaf chlorophyll content based on VIS / NIR spectroscopy using ANN and PLSR

Published:2022-10-06 Issue: Volume: Page:
ISSN:2048-7177
Container-title:Food Science & Nutrition
language:en
Short-container-title:Food Science & Nutrition

Author:

Rasooli Sharabiani Vali¹^ORCID,Soltani Nazarloo Araz¹^ORCID,Taghinezhad Ebrahim²³^ORCID,Veza Ibham⁴^ORCID,Szumny Antoni³^ORCID,Figiel Adam⁵^ORCID

Affiliation:

1. Department of Biosystem Engineering, Fac. of Agriculture and Nat. Res. University of Mohaghegh Ardabili Ardabil Iran

2. Moghan College of Agriculture and Natural Resources University of Mohaghegh Ardabili Ardabil Iran

3. Department of Chemistry Wroclaw University of Environmental and Life Science Wrocław Poland

4. Department of Mechanical Engineering Universiti Teknologi PETRONAS Perak Darul Ridzuan Malaysia

5. Institute of Agricultural Engineering Wroclaw University of Environmental and Life Sciences Wrocław Poland

Publisher

Wiley

Subject

Food Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/fsn3.3071

Reference65 articles.

1. Estimating maize and cotton yield in southeastern Turkey with integrated use of satellite images, meteorological data and digital photographs

2. Predicting average regional yield and production of wheat in the Argentine Pampas by an artificial neural network approach

3. An Introduction to Multivariate Calibration and Analysis

4. Calibration in non-linear near infrared reflectance spectroscopy: a comparison of several methods

5. New spectral indicator assessing the efficiency of crop nitrogen treatment in corn and wheat

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