Robust NIRS models for non-destructive prediction of postharvest fruit ripeness and quality in mango

By Parika Rungpichayapichet, B. Mahayothee, M. Nagle, P. Khuwijitjaru, Joachim Müller. 2016

116 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Biochemistry, Plant Science

View Paper: https://www.semanticscholar.org/paper/b41f1f2a533faf03279761c39159404adb639d0e

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In Analytical Chemistry

1. Ramin Nikzad‐Langerodi
2. Puneet Mishra

In Biochemistry

1. Puneet Mishra

In Plant Science

1. Puneet Mishra

Citations in the corpus

• Partial least square regression versus domain invariant partial least square regression with application to near-infrared spectroscopy of fresh fruit (2020, methodology): “For example, the effects of temperature were removed with the help of an external parameter orthogonalization approach to improving SSC prediction in apples [28], the external influences during the on-line implementation of NIR spectroscopy for wine fermentation monitoring were removed with the use ”