Zobrazeno 1 - 10 of 16 pro vyhledávání: '"José M. Bengochea-Guevara"'
1
Akademický článek
Comparing UAV-Based Technologies and RGB-D Reconstruction Methods for Plant Height and Biomass Monitoring on Grass Ley
Autor: Victor P. Rueda-Ayala, José M. Peña, Mats Höglind, José M. Bengochea-Guevara, Dionisio Andújar
Publikováno v: Sensors, Vol 19, Iss 3, p 535 (2019)
Pastures are botanically diverse and difficult to characterize. Digital modeling of pasture biomass and quality by non-destructive methods can provide highly valuable support for decision-making. This study aimed to evaluate aerial and on-ground meth
Externí odkaz: https://doaj.org/article/7523b60f6ed84d778c570e1bd76eda71
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2
Akademický článek
A Low-Cost Approach to Automatically Obtain Accurate 3D Models of Woody Crops
Autor: José M. Bengochea-Guevara, Dionisio Andújar, Francisco L. Sanchez-Sardana, Karla Cantuña, Angela Ribeiro
Publikováno v: Sensors, Vol 18, Iss 1, p 30 (2017)
Crop monitoring is an essential practice within the field of precision agriculture since it is based on observing, measuring and properly responding to inter- and intra-field variability. In particular, “on ground crop inspection” potentially all
Externí odkaz: https://doaj.org/article/7ec2cda71aa8461c80e402713d9c3d41
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3
Akademický článek
Merge Fuzzy Visual Servoing and GPS-Based Planning to Obtain a Proper Navigation Behavior for a Small Crop-Inspection Robot
Autor: José M. Bengochea-Guevara, Jesus Conesa-Muñoz, Dionisio Andújar, Angela Ribeiro
Publikováno v: Sensors, Vol 16, Iss 3, p 276 (2016)
The concept of precision agriculture, which proposes farming management adapted to crop variability, has emerged in recent years. To effectively implement precision agriculture, data must be gathered from the field in an automated manner at minimal c
Externí odkaz: https://doaj.org/article/b5bfb875cdd4462d89297c834676bd8a
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5
Evaluation of Vineyard Cropping Systems Using On-Board RGB-Depth Perception
Autor: Dionisio Andújar, Gerassimos Peteinatos, Constantino Valero, Hugo Moreno, José M. Bengochea-Guevara, Juan Carlos López, Victor Rueda-Ayala, Angela Ribeiro
Publikováno v: Sensors
Volume 20
Issue 23
Sensors, ISSN 1424-8220, 2020-12-03, Vol. 20, No. 23
Archivo Digital UPM
Universidad Politécnica de Madrid
Sensors, Vol 20, Iss 6912, p 6912 (2020)
Digital.CSIC. Repositorio Institucional del CSIC
instname
Sensors (Basel, Switzerland)
A non-destructive measuring technique was applied to test major vine geometric traits on measurements collected by a contactless sensor. Three-dimensional optical sensors have evolved over the past decade, and these advancements may be useful in impr
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbbe3227e32c64133e69083bede29308
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6
On-Ground Vineyard Reconstruction Using a LiDAR-Based Automated System
Autor: Angela Ribeiro, Constantino Valero, Dionisio Andújar, José M. Bengochea-Guevara, Miguel Garrido-Izard, Hugo Moreno
Publikováno v: Sensors, ISSN 1424-8220, 2020-02, Vol. 20, No. 4
Archivo Digital UPM
Universidad Politécnica de Madrid
Sensors (Basel, Switzerland)
Digital.CSIC. Repositorio Institucional del CSIC
instname
Sensors, Vol 20, Iss 4, p 1102 (2020)
Sensors
Volume 20
Issue 4
© 2020 by the authors.
Crop 3D modeling allows site-specific management at different crop stages. In recent years, light detection and ranging (LiDAR) sensors have been widely used for gathering information about plant architecture to extract b
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5f88265e5fd8c376f214cfa33598cbc
http://oa.upm.es/66813/
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8
Aerial imagery or on-ground detection? An economic analysis for vineyard crops
Autor: José M. Bengochea-Guevara, Ana Castro, Dionisio Andújar, Angela Ribeiro, Hugo Moreno
Publikováno v: Digital.CSIC. Repositorio Institucional del CSIC
instname
Aerial and on-ground vegetation characterization technologies are continuously evolving. An experiment was conducted in a vineyard field in order to test the economic feasibility of applying fertilizers site specifically based on different mapping sy
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b245cce7acec19f223a358864e513bf
http://hdl.handle.net/10261/207659
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9
Comparing UAV-Based Technologies and RGB-D Reconstruction Methods for Plant Height and Biomass Monitoring on Grass Ley
Autor: José M. Bengochea-Guevara, José M. Peña, Dionisio Andújar, Mats Höglind, Victor Rueda-Ayala
Publikováno v: Sensors, ISSN 1424-8220, 2019
Sensors
Volume 19
Issue 3
Archivo Digital UPM
Universidad Politécnica de Madrid
Sensors (Basel, Switzerland)
Sensors, Vol 19, Iss 3, p 535 (2019)
Digital.CSIC. Repositorio Institucional del CSIC
instname
Pastures are botanically diverse and difficult to characterize. Digital modeling of pasture biomass and quality by non-destructive methods can provide highly valuable support for decision-making. This study aimed to evaluate aerial and on-ground meth
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2cc036dc3148e236e64a4b84b1109138
https://oa.upm.es/67147/
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10
Route planning for agricultural tasks: A general approach for fleets of autonomous vehicles in site-specific herbicide applications
Autor: Jesús Conesa-Muñoz, Dionisio Andújar, Angela Ribeiro, José M. Bengochea-Guevara
Publikováno v: Computers and Electronics in Agriculture. 127:204-220
The proposed route planner addresses a broad range of agricultural problems.The planner considers vehicles with different features and the field variability.The planner optimizes for different criteria, even simultaneously.The planner is validated so
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3000edfe03e3f46527c284231986e41d
https://doi.org/10.1016/j.compag.2016.06.012
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