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...

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Bibliographic Details
Main Authors: Petteri Nevavuori, Nathaniel Narra, Petri Linna, Tarmo Lipping
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Remote Sensing
Subjects:
UAV
Online Access:https://www.mdpi.com/2072-4292/12/23/4000