Chlorophyll content estimation and ripeness detection in tomato fruit based on NDVI from dual wavelength LiDAR point cloud data-Reference-Cited by-同舟云学术

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Chlorophyll content estimation and ripeness detection in tomato fruit based on NDVI from dual wavelength LiDAR point cloud data

Published:2024-12 Issue: Volume:383 Page:112218
ISSN:0260-8774
Container-title:Journal of Food Engineering
language:en
Short-container-title:Journal of Food Engineering

Author:

Saha Kowshik Kumar^ORCID,Weltzien Cornelia^ORCID,Bookhagen Bodo^ORCID,Zude-Sasse Manuela^ORCID

Publisher

Elsevier BV

Reference67 articles.

1. Non-destructive assessment of flesh firmness and dietary antioxidants of greenhouse-grown tomato (Solanum lycopersicum L.) at different fruit maturity stages;Alenazi;Saudi J. Biol. Sci.,2020

2. Ethylene biosynthesis and action in tomato: a model for climacteric fruit ripening;Alexander;J. Exp. Bot.,2002

3. Simultaneous extraction of plant 3-D biochemical and structural parameters using hyperspectral LiDAR;Bi;Geosci. Rem. Sens. Lett. IEEE,2020

4. The role of LAI and leaf chlorophyll on NDVI estimated by UAV in grapevine canopies;Caruso;Sci. Hortic.,2023

5. Relationship of the optical absorption and scattering properties with mechanical and structural properties of apple tissue;Cen;Postharvest Biol. Technol.,2013

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