dc.creator | Quebrajo Moya, Lucía | es |
dc.creator | Pérez Ruiz, Manuel | es |
dc.creator | Pérez Urrestarazu, Luis | es |
dc.creator | Martínez, G. | es |
dc.creator | Egea, G. | es |
dc.date.accessioned | 2023-12-27T12:54:52Z | |
dc.date.available | 2023-12-27T12:54:52Z | |
dc.date.issued | 2017-09-02 | |
dc.identifier.citation | Quebrajo Moya, L., Pérez Ruiz, M., Pérez Urrestarazu, L., Martínez, G. y Egea, G. (2017). Linking thermal imaging and soil remote sensing to enhance irrigation management of sugar beet. Biosystems Engineering, 165, 77-87. https://doi.org/10.1016/j.biosystemseng.2017.08.013. | |
dc.identifier.issn | 1537-5129 | es |
dc.identifier.uri | https://hdl.handle.net/11441/152834 | |
dc.description.abstract | The use of reliable information and data that are rapidly and easily acquired is essential for
farm water management and appropriate irrigation strategies. Over the past decade, new
advances have been made in irrigation technology, such as platforms that continuously
transmit data between irrigation controllers and field sensors, mobile apps, and equipment
for variable rate irrigation. In this study, images captured with a thermal imaging camera
mounted on an unmanned aerial vehicle (UAV) were used to evaluate the water status of
sugar beet plants in a plot with large spatial variability in terms of soil properties. The
results were compared with those of soil moisture measurements. No direct relationship
was observed between the water status of the soil and that of the crops. However, the fresh
root mass and sugar content tended to decrease when higher levels of water stress were
detected in the crop using thermal imaging, with coefficients of determination of 0.28 and
0.94 for fresh root mass and sugar content, respectively. Differences were observed be tween different soil types, and therefore different irrigation strategies are needed in highly
heterogeneous plots. | es |
dc.format | application/pdf | es |
dc.format.extent | 11 | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | Biosystems Engineering, 165, 77-87. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Remote sensing | es |
dc.subject | Unmanned aerial vehicle (UAV) | es |
dc.subject | Precision agriculture | es |
dc.subject | Aerial image | es |
dc.subject | Crop water stress index (CWSI) | es |
dc.title | Linking thermal imaging and soil remote sensing to enhance irrigation management of sugar beet | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería Aerospacial y Mecánica de Fluidos | es |
dc.identifier.doi | 10.1016/j.biosystemseng.2017.08.013 | es |
dc.journaltitle | Biosystems Engineering | es |
dc.publication.volumen | 165 | es |
dc.publication.initialPage | 77 | es |
dc.publication.endPage | 87 | es |