Strategies and methods for predicting soil organic matter at the field scale based on the provincial near infrared spectral database

Strategies and methods for predicting soil organic matter at the field scale based on the provincial near infrared spectral database

The development and provision of soil spectral library (SSL) could facilitate the application of near infrared (NIR) spectroscopy for economical, accurate, and efficient determination of soil organic matter (SOM). In this work, the performances of partial least squares regression (PLSR) and convolut...

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Bibliographic Details
Main Authors: Shengyao Jia, Chunbo Hong, Hongyang Li, Yuchan Li, Siyuan Hu
Format: Article
Language:English
Published: Czech Academy of Agricultural Sciences 2023-08-01
Series:Soil and Water Research
Subjects:
convolutional neural network
soil organic content
soil spectral library
spiking sample size
strategy
Online Access:https://swr.agriculturejournals.cz/artkey/swr-202303-0002_strategies-and-methods-for-predicting-soil-organic-matter-at-the-field-scale-based-on-the-provincial-near-infra.php

Internet

https://swr.agriculturejournals.cz/artkey/swr-202303-0002_strategies-and-methods-for-predicting-soil-organic-matter-at-the-field-scale-based-on-the-provincial-near-infra.php

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