Orchard mapping with deep learning semantic segmentation

Athanasios Anagnostis; Aristotelis C. Tagarakis; Dimitrios Kateris; Vasileios Moysiadis; Claus Grøn Sørensen; Simon Pearson; Dionysis Bochtis

doi:10.3390/s21113813

Orchard mapping with deep learning semantic segmentation

Athanasios Anagnostis
, Aristotelis C. Tagarakis
, Dimitrios Kateris^*
, Vasileios Moysiadis
, Claus Grøn Sørensen
, Simon Pearson
, Dionysis Bochtis

^*Corresponding author af dette arbejde

Institut for Elektro- og Computerteknologi - Communication, Control and Automation - Edison

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review

44 Citationer (Scopus)

Abstract

Originalsprog	Engelsk
Artikelnummer	3813
Tidsskrift	Sensors
Vol/bind	21
Nummer	11
Antal sider	20
ISSN	1424-8220
DOI	https://doi.org/10.3390/s21113813
Status	Udgivet - jun. 2021

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10.3390/s21113813Licens: CC BY

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Citationsformater

@article{d040e1ba8ba3436e9d2ece30e59540d3,

title = "Orchard mapping with deep learning semantic segmentation",

author = "Athanasios Anagnostis and Tagarakis, \{Aristotelis C.\} and Dimitrios Kateris and Vasileios Moysiadis and S{\o}rensen, \{Claus Gr{\o}n\} and Simon Pearson and Dionysis Bochtis",

note = "Funding Information: Acknowledgments: This research was supported by the project “Human-Robot Synergetic Logistics for High Value Crops” (project acronym: SYNERGIE), funded by the General Secretariat for Research and Innovation (GSRI) under reference no. 2386. Publisher Copyright: {\textcopyright} 2021 by the authors. Licensee MDPI, Basel, Switzerland.",

year = "2021",

month = jun,

doi = "10.3390/s21113813",

language = "English",

volume = "21",

journal = "Sensors",

issn = "1424-8220",

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TY - JOUR

T1 - Orchard mapping with deep learning semantic segmentation

AU - Anagnostis, Athanasios

AU - Tagarakis, Aristotelis C.

AU - Kateris, Dimitrios

AU - Moysiadis, Vasileios

AU - Sørensen, Claus Grøn

AU - Pearson, Simon

AU - Bochtis, Dionysis

N1 - Funding Information: Acknowledgments: This research was supported by the project “Human-Robot Synergetic Logistics for High Value Crops” (project acronym: SYNERGIE), funded by the General Secretariat for Research and Innovation (GSRI) under reference no. 2386. Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

PY - 2021/6

Y1 - 2021/6

U2 - 10.3390/s21113813

DO - 10.3390/s21113813

M3 - Journal article

C2 - 34072975

AN - SCOPUS:85106685328

SN - 1424-8220

VL - 21

JO - Sensors

JF - Sensors

IS - 11

M1 - 3813

ER -