3d reconstruction of non-rigid plants and sensor data fusion for agriculture phenotyping

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dc.contributor.authorSampaio G.S.
dc.contributor.authorda Silva L.A.
dc.contributor.authorMarengoni M.
dc.date.accessioned2024-03-12T19:20:13Z
dc.date.available2024-03-12T19:20:13Z
dc.date.issued2021
dc.description.abstract© 2021 by the authors. Licensee MDPI, Basel, Switzerland.Technology has been promoting a great transformation in farming. The introduction of robotics; the use of sensors in the field; and the advances in computer vision; allow new systems to be developed to assist processes, such as phenotyping, of crop’s life cycle monitoring. This work presents, which we believe to be the first time, a system capable of generating 3D models of non-rigid corn plants, which can be used as a tool in the phenotyping process. The system is composed by two modules: an terrestrial acquisition module and a processing module. The terrestrial acquisition module is composed by a robot, equipped with an RGB-D camera and three sets of temperature, humidity, and luminosity sensors, that collects data in the field. The processing module conducts the non-rigid 3D plants reconstruction and merges the sensor data into these models. The work presented here also shows a novel technique for background removal in depth images, as well as efficient techniques for processing these images and the sensor data. Experiments have shown that from the models generated and the data collected, plant structural measurements can be performed accurately and the plant’s environment can be mapped, allowing the plant’s health to be evaluated and providing greater crop efficiency.
dc.description.issuenumber12
dc.description.volume21
dc.identifier.doi10.3390/s21124115
dc.identifier.issn1424-8220
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/34644
dc.relation.ispartofSensors
dc.rightsAcesso Aberto
dc.subject.otherlanguage3D reconstruction
dc.subject.otherlanguageAgriculture
dc.subject.otherlanguageComputer vision
dc.subject.otherlanguageRobotics
dc.subject.otherlanguageSensor data fusion
dc.title3d reconstruction of non-rigid plants and sensor data fusion for agriculture phenotyping
dc.typeArtigo
local.scopus.citations17
local.scopus.eid2-s2.0-85107873473
local.scopus.subject3D reconstruction
local.scopus.subjectAcquisition modules
local.scopus.subjectBackground removal
local.scopus.subjectCrop efficiency
local.scopus.subjectNovel techniques
local.scopus.subjectProcessing modules
local.scopus.subjectRgb-d cameras
local.scopus.subjectStructural measurements
local.scopus.subjectAgriculture
local.scopus.subjectFarms
local.scopus.subjectImaging, Three-Dimensional
local.scopus.subjectRobotics
local.scopus.subjectZea mays
local.scopus.updated2024-12-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85107873473&origin=inward
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