Estimating Black Oat Biomass Using Digital Surface Models and a Vegetation Index Derived from RGB-Based Aerial Images

Estimating Black Oat Biomass Using Digital Surface Models and a Vegetation Index Derived from RGB-Based Aerial Images

Responsible for food production and industry inputs, agriculture needs to adapt to worldwide increasing demands and environmental requirements. In this scenario, black oat has gained environmental and economic importance since it can be used in no-tillage systems, green manure, or animal feed supple...

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Bibliographic Details
Main Authors: Lucas Renato Trevisan, Lisiane Brichi, Tamara Maria Gomes, Fabrício Rossi
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Remote Sensing
Subjects:
image analysis
plant growth
computer vision
remote sensing
visible spectrum
unmanned aerial vehicle
Online Access:https://www.mdpi.com/2072-4292/15/5/1363

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https://www.mdpi.com/2072-4292/15/5/1363

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