Predicting the Optimum Corn Harvest Time via the Quantity of Dry Matter Determined with Vegetation Indices Obtained from Multispectral Field Imaging

Predicting the Optimum Corn Harvest Time via the Quantity of Dry Matter Determined with Vegetation Indices Obtained from Multispectral Field Imaging

Estimating the optimum harvest time and yield embodies an essential food security factor. Vegetation indices have proven to be an effective tool for widescale in-field plant health mapping. A drone-based multispectral camera then conveniently allows acquiring data on the condition of the plant. This...

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Bibliographic Details
Main Authors: Jiří Janoušek, Petr Marcoň, Přemysl Dohnal, Václav Jambor, Hana Synková, Petr Raichl
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Remote Sensing
Subjects:
corn
multispectral imaging
vegetation indices
nutritional analysis
correlation
photogrammetry
Online Access:https://www.mdpi.com/2072-4292/15/12/3152

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