Codice QR

A Study on Leveraging Unmanned Aerial Vehicle Collaborative Driving and Aerial Photography Systems to Improve the Accuracy of Crop Phenotyping

Unmanned aerial vehicle (UAV)-based aerial images have enabled a prediction of various factors that affect crop growth. However, the single UAV system leaves much to be desired; the time lag between images affects the accuracy of crop information, lowers the image registration quality and a maximum...

Descrizione completa

Salvato in:
Dettagli Bibliografici
Autori principali: Kangbeen Lee, Xiongzhe Han
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2023-08-01
Serie:Remote Sensing
Soggetti:
Accesso online:https://www.mdpi.com/2072-4292/15/15/3903
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!