Crop Yield Prediction Using Multitemporal UAV Data and Spatio-Temporal Deep Learning Models
Unmanned aerial vehicle (UAV) based remote sensing is gaining momentum worldwide in a variety of agricultural and environmental monitoring and modelling applications. At the same time, the increasing availability of yield monitoring devices in harvesters enables input-target mapping of in-season RGB...
Main Authors: | Petteri Nevavuori, Nathaniel Narra, Petri Linna, Tarmo Lipping |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-12-01
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Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/12/23/4000 |
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