A Comparison of Different Data Fusion Strategies’ Effects on Maize Leaf Area Index Prediction Using Multisource Data from Unmanned Aerial Vehicles (UAVs)

A Comparison of Different Data Fusion Strategies’ Effects on Maize Leaf Area Index Prediction Using Multisource Data from Unmanned Aerial Vehicles (UAVs)

The leaf area index (LAI) is an important indicator for crop growth monitoring. This study aims to analyze the effects of different data fusion strategies on the performance of LAI prediction models, using multisource images from unmanned aerial vehicles (UAVs). For this purpose, maize field experim...

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Bibliographic Details
Main Authors: Junwei Ma, Pengfei Chen, Lijuan Wang
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Drones
Subjects:
multisource remote sensing images
leaf area index
UAV
maize
Online Access:https://www.mdpi.com/2504-446X/7/10/605

Internet

https://www.mdpi.com/2504-446X/7/10/605

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