Zobrazeno 1 - 10 of 20 pro vyhledávání: '"José-Manuel Peña"'
1
Akademický článek
Assessment of the Persistence of Avena sterilis L. Patches in Wheat Fields for Site-Specific Sustainable Management
Autor: Isabel Luisa Castillejo-González, Ana Isabel de Castro, Montserrat Jurado-Expósito, José-Manuel Peña, Alfonso García-Ferrer, Francisca López-Granados
Publikováno v: Agronomy, Vol 9, Iss 1, p 30 (2019)
This paper aims to evaluate the spatial persistence of wild oat patches in four wheat fields over time to determine the economic feasibility of using late-season wild oat maps for early site-specific weed management (SSWM) next season. The spatial pe
Externí odkaz: https://doaj.org/article/dff35a7667f146a2aee2da0bec0d1f0a
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2
Akademický článek
Spatial Quality Evaluation of Resampled Unmanned Aerial Vehicle-Imagery for Weed Mapping
Autor: Irene Borra-Serrano, José Manuel Peña, Jorge Torres-Sánchez, Francisco Javier Mesas-Carrascosa, Francisca López-Granados
Publikováno v: Sensors, Vol 15, Iss 8, Pp 19688-19708 (2015)
Unmanned aerial vehicles (UAVs) combined with different spectral range sensors are an emerging technology for providing early weed maps for optimizing herbicide applications. Considering that weeds, at very early phenological stages, are similar spec
Externí odkaz: https://doaj.org/article/513a56d6a68f477abec757d494ca053d
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3
Use of Under-Vine Living Mulches to Control Noxious Weeds in Irrigated Mediterranean Vineyards
Autor: Jose G. Guerra, Félix Cabello, César Fernández-Quintanilla, José Manuel Peña, José Dorado
Publikováno v: Plants; Volume 11; Issue 15; Pages: 1921
Digital.CSIC. Repositorio Institucional del CSIC
instname
This article assesses the use of under-vine living mulches in Mediterranean vineyards characterized by limited water resources, one of the reasons why this agronomic practice is currently unusual in these environments. The aim of the study was to tes
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b10766847fe38377a9e6e029da5c35f
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4
Applications of Sensing for Disease Detection
Autor: Chenghai Yang, S. Arazuri, Xiwei Wang, Ana Isabel de Castro Megías, José Manuel Peña, Thomas Isakeit, Curtis Cribben, Reza Ehsani, Tianyi Wang, Robert L. Nichols, Diana Marín, Claudia Pérez-Roncal, Carmen Jarén, Ainara López-Maestresalas, Carlos Lopez-Molina, J. Alex Thomasson, Gonzaga Santesteban, Jorge Urrestarazu
Publikováno v: Sensing Approaches for Precision Agriculture ISBN: 9783030784300
The potential loss of world crop production from the effect of pests, including weeds, animal pests, pathogens and viruses has been quantified as around 40%. In addition to the economic threat, plant diseases could have disastrous consequences for th
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1e2a58c13066b3a947b92f0bced76377
https://doi.org/10.1007/978-3-030-78431-7_13
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5
Site-Specific Based Models
Autor: José Dorado, Dionisio Andújar, José Manuel Peña, César Fernández-Quintanilla
Publikováno v: Digital.CSIC. Repositorio Institucional del CSIC
instname
Decision Support Systems for Weed Management ISBN: 9783030444013
This chapter reviews the major conceptual approaches and specifications for the design of site-specific weed management decision support systems (SSWM-DSS), recent advances in the use of remote and ground platforms and sensors for information gatheri
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1347f51db132af3a4c2296335362446
http://hdl.handle.net/10261/236920
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6
Automatic UAV-based detection of Cynodon dactylon for site-specific vineyard management
Autor: Jorge Torres-Sánchez, Ana Castro, José Manuel Peña, Francisca López-Granados, Francisco Manuel Jiménez-Brenes, Pilar Ramírez, Isabel Luisa Castillejo-González
Publikováno v: PLoS ONE
PLoS ONE, Vol 14, Iss 6, p e0218132 (2019)
Digital.CSIC. Repositorio Institucional del CSIC
instname
The perennial and stoloniferous weed, Cynodon dactylon (L.) Pers. (bermudagrass), is a serious problem in vineyards. The spectral similarity between bermudagrass and grapevines makes discrimination of the two species, based solely on spectral informa
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dacae68c23ca61cfa024772eebd22e03
http://europepmc.org/articles/PMC6559662
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7
Spatial Quality Evaluation of Resampled Unmanned Aerial Vehicle-Imagery for Weed Mapping
Autor: Jorge Torres-Sánchez, Francisco Javier Mesas-Carrascosa, Francisca López-Granados, José Manuel Peña, Irene Borra-Serrano
Publikováno v: Sensors, Vol 15, Iss 8, Pp 19688-19708 (2015)
Sensors (Basel, Switzerland)
Sensors 15(8), 19688-19708 (2015)
Helvia. Repositorio Institucional de la Universidad de Córdoba
instname
Sensors
Volume 15
Issue 8
Pages 19688-19708
Digital.CSIC. Repositorio Institucional del CSIC
Unmanned aerial vehicles (UAVs) combined with different spectral range sensors are an emerging technology for providing early weed maps for optimizing herbicide applications. Considering that weeds at very early phenological stages are similar spectr
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65f30d713d2dca3f848d7c433a7e2f02
http://www.mdpi.com/1424-8220/15/8/19688
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8
Assessing UAV-collected image overlap influence on computation time and digital surface model accuracy in olive orchards
Autor: Jorge Torres-Sánchez, Francisca López-Granados, Irene Borra-Serrano, José Manuel Peña
Publikováno v: Digital.CSIC. Repositorio Institucional del CSIC
instname
Addressing the spatial and temporal variability of crops for agricultural management requires intensive and periodical information gathering from the crop fields. Unmanned Aerial Vehicle (UAV) photogrammetry is a quick and affordable method for infor
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29b95ee07dcea4193a9e3dfff11220af
http://hdl.handle.net/10261/157082
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10
Selecting patterns and features for between- and within- crop-row weed mapping using UAV-imagery
Autor: Pedro Antonio Gutiérrez, José Manuel Peña, Jorge Torres-Sánchez, María Pérez-Ortiz, César Hervás-Martínez, Francisca López-Granados
Publikováno v: Brújula
Universidad Loyola Andalucía
Helvia. Repositorio Institucional de la Universidad de Córdoba
instname
The problem of remote weed mapping via machine learning is considered.Unmanned aerial vehicles are used to capture maize and sunflower field images.The proposed method considers pattern and feature selection techniques.The final model requires few us
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de4db67be85d878a5da0b51adb8fa4ff
http://hdl.handle.net/20.500.12412/1229
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