Occluded Grape Cluster Detection and Vine Canopy Visualisation Using an Ultrasonic Phased Array

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dc.citation.issue6
dc.citation.volume21
dc.contributor.authorParr B
dc.contributor.authorLegg M
dc.contributor.authorBradley S
dc.contributor.authorAlam F
dc.date.available2021-03
dc.date.available2021-03-17
dc.date.issued20/03/2021
dc.descriptionPublished source must be acknowledged with citation
dc.description.abstractGrape yield estimation has traditionally been performed using manual techniques. However, these tend to be labour intensive and can be inaccurate. Computer vision techniques have therefore been developed for automated grape yield estimation. However, errors occur when grapes are occluded by leaves, other bunches, etc. Synthetic aperture radar has been investigated to allow imaging through leaves to detect occluded grapes. However, such equipment can be expensive. This paper investigates the potential for using ultrasound to image through leaves and identify occluded grapes. A highly directional low frequency ultrasonic array composed of ultrasonic air-coupled transducers and microphones is used to image grapes through leaves. A fan is used to help differentiate between ultrasonic reflections from grapes and leaves. Improved resolution and detail are achieved with chirp excitation waveforms and near-field focusing of the array. The overestimation in grape volume estimation using ultrasound reduced from 222% to 112% compared to the 3D scan obtained using photogrammetry or from 56% to 2.5% compared to a convex hull of this 3D scan. This also has the added benefit of producing more accurate canopy volume estimations which are important for common precision viticulture management processes such as variable rate applications.
dc.description.publication-statusPublished
dc.identifierhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000652722800001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=c5bb3b2499afac691c2e3c1a83ef6fef
dc.identifierARTN 2182
dc.identifier.citationSENSORS, 2021, 21 (6)
dc.identifier.doi10.3390/s21062182
dc.identifier.eissn1424-8220
dc.identifier.elements-id441675
dc.identifier.harvestedMassey_Dark
dc.identifier.urihttps://hdl.handle.net/10179/16196
dc.publisherMDPI (Basel, Switzerland)
dc.relation.isPartOfSENSORS
dc.relation.urihttps://www.mdpi.com/1424-8220/21/6/2182
dc.subjectultrasound
dc.subjectarray
dc.subjectvine yield
dc.subjectcanopy estimation
dc.subjectsmart agriculture
dc.subjectnondestructive
dc.subjectremote sensing
dc.subject.anzsrc0301 Analytical Chemistry
dc.subject.anzsrc0805 Distributed Computing
dc.subject.anzsrc0906 Electrical and Electronic Engineering
dc.subject.anzsrc0502 Environmental Science and Management
dc.subject.anzsrc0602 Ecology
dc.titleOccluded Grape Cluster Detection and Vine Canopy Visualisation Using an Ultrasonic Phased Array
dc.typeJournal article
pubs.notesNot known
pubs.organisational-group/Massey University
pubs.organisational-group/Massey University/College of Sciences
pubs.organisational-group/Massey University/College of Sciences/School of Food and Advanced Technology
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