An RGB-D multi-view perspective for autonomous agricultural robots-Reference-Cited by-同舟云学术

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An RGB-D multi-view perspective for autonomous agricultural robots

Published:2022-11 Issue: Volume:202 Page:107419
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Vulpi Fabio,Marani Roberto,Petitti Antonio,Reina Giulio,Milella Annalisa^ORCID

Funder

European Commission

Ministero dell’Istruzione, dell’Università e della Ricerca

Consiglio Nazionale delle Ricerche

Ministry of Agriculture Forest Food and Tourism

Horizon 2020

Horizon 2020 Framework Programme

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference25 articles.

1. The ball-pivoting algorithm for surface reconstruction;Bernardini;IEEE Trans. Vis. Comput. Graphics,1999

2. On the use of depth camera for 3D phenotyping of entire plants;Chéné;Comput. Electron. Agric.,2012

3. Principles of Robot Motion;Choset,2004

4. Unsupervised detection of vineyards by 3D point-cloud UAV photogrammetry for precision agriculture;Comba;Comput. Electron. Agric.,2018

5. Evaluation of low-cost depth cameras for agricultural applications;Condotta;Comput. Electron. Agric.,2020

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1. Design, fabrication and evaluation of a robot for plant nutrient monitoring in greenhouse (case study: Iron nutrient in spinach);Computers and Electronics in Agriculture;2024-02

2. “Estimating soil surface roughness by proximal sensing for soil erosion modeling implementation at field scale”;Environmental Research;2023-12

3. An analysis of the effects of water regime on grapevine canopy status using a UAV and a mobile robot;Smart Agricultural Technology;2023-12

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