The Fusion of Spectral and Structural Datasets Derived from an Airborne Multispectral Sensor for Estimation of Pasture Dry Matter Yield at Paddock Scale with Time

The Fusion of Spectral and Structural Datasets Derived from an Airborne Multispectral Sensor for Estimation of Pasture Dry Matter Yield at Paddock Scale with Time

This study aimed to develop empirical pasture dry matter (DM) yield prediction models using an unmanned aerial vehicle (UAV)-borne sensor at four flying altitudes. Three empirical models were developed using features generated from the multispectral sensor: Structure from Motion only (S<i>f<...

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Bibliographic Details
Main Authors: Senani Karunaratne, Anna Thomson, Elizabeth Morse-McNabb, Jayan Wijesingha, Dani Stayches, Amy Copland, Joe Jacobs
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Remote Sensing
Subjects:
space-time model
machine learning
farmscape
digital agriculture
Online Access:https://www.mdpi.com/2072-4292/12/12/2017

Internet

https://www.mdpi.com/2072-4292/12/12/2017

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