Year: 2025
Type: article
Abstract: Despite the well‐documented merits of near‐infrared reflectance (NIR) spectroscopy for forage nutritive value analysis, recent studies reveal inconsistencies in accuracy of NIR‐predicted values. These findings underscore the critical need for robust validation efforts to ensure reliability. Employing visual tools, such as scatter plots comparing laboratory‐measured with NIR‐predicted values, enhances the interpretation and qualification of data. Standardized reporting of validation outcomes, including key metrics and best practices, is essential for ensuring data quality and fostering broader adoption of NIR spectroscopy across research and industry. In this article, we suggest guidelines for reporting NIR spectroscopy predictions and emphasize the need for independent validation as a required procedure to enhance the credibility and application of NIR spectroscopy for forage analysis.
Source: Crop Science
DOI: 10.1002/csc2.70063
Language: English
Subfield: Analytical Chemistry
Field: Chemistry
Domain: Physical Sciences
SDG: Zero hunger
Open Access status: hybrid
Estimated APC paid: $1,980
OpenAlex ID: W4409745666
