Fruit Detection and Yield Mass Estimation from a UAV Based RGB Dense Cloud for an Apple Orchard

Fruit Detection and Yield Mass Estimation from a UAV Based RGB Dense Cloud for an Apple Orchard

Precise photogrammetric mapping of preharvest conditions in an apple orchard can help determine the exact position and volume of single apple fruits. This can help estimate upcoming yields and prevent losses through spatially precise cultivation measures. These parameters also are the basis for effe...

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Bibliographic Details
Main Authors: Marius Hobart, Michael Pflanz, Nikos Tsoulias, Cornelia Weltzien, Mia Kopetzky, Michael Schirrmann
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Drones
Subjects:
fruit detection
yield estimation
structure from motion (SfM)
unmanned aerial vehicle (UAV)
apple trees
Online Access:https://www.mdpi.com/2504-446X/9/1/60
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