Automated and non-destructive estimation of soluble solid content of tomatoes on the plant under variable light conditions-Reference-Cited by-同舟云学术

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Automated and non-destructive estimation of soluble solid content of tomatoes on the plant under variable light conditions

Published:2024-06 Issue: Volume:242 Page:80-90
ISSN:1537-5110
Container-title:Biosystems Engineering
language:en
Short-container-title:Biosystems Engineering

Author:

Ruizendaal Jos^ORCID,Polder Gerrit^ORCID,Kootstra Gert^ORCID

Publisher

Elsevier BV

Reference38 articles.

1. Tomato fruit detection and counting in greenhouses using deep learning;Afonso;Frontiers in Plant Science,2020

2. Statistical comparison of the slopes of two regression lines: A tutorial;Andrade;Analytica Chimica Acta,2014

3. Field high-throughput phenotyping: The new crop breeding frontier;Araus;Trends in Plant Science,2014

4. Directional versus total reflectance spectroscopy for the in situ determination of lycopene in tomato fruits;Ciaccheri;Journal of Food Composition and Analysis,2018

5. Simpls: An alternative approach to partial least squares regression;de Jong;Chemometrics and Intelligent Laboratory Systems,1993

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