Prediction of biometric variables through multispectral images obtained from UAV in beans (Phaseolus vulgaris L.) during ripening stage
Here, we report the prediction of vegetative stages variables of canary bean crop by means of RGB and multispectral images obtained from UAV during the ripening stage, correlating the vegetation indices with biometric variables measured manually in the field. Results indicated a highly significant c...
| Main Authors: | , , , , , |
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| Format: | info:eu-repo/semantics/workingPaper |
| Language: | Inglés |
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MDPI
2022
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| Subjects: | |
| Online Access: | https://hdl.handle.net/20.500.12955/1854 https://doi.org/10.20944/preprints202106.0139.v1 |
| _version_ | 1855028528310910976 |
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| author | Quille Mamani, Javier Alvaro Porras Jorge, Rossana Saravia Navarro, David Herrera, Jordán Chávez Galarza, Julio César Arbizu Berrocal, Carlos Irvin |
| author_browse | Arbizu Berrocal, Carlos Irvin Chávez Galarza, Julio César Herrera, Jordán Porras Jorge, Rossana Quille Mamani, Javier Alvaro Saravia Navarro, David |
| author_facet | Quille Mamani, Javier Alvaro Porras Jorge, Rossana Saravia Navarro, David Herrera, Jordán Chávez Galarza, Julio César Arbizu Berrocal, Carlos Irvin |
| author_sort | Quille Mamani, Javier Alvaro |
| collection | Repositorio INIA |
| description | Here, we report the prediction of vegetative stages variables of canary bean crop by means of RGB and multispectral images obtained from UAV during the ripening stage, correlating the vegetation indices with biometric variables measured manually in the field. Results indicated a highly significant correlation of plant height with eight RGB image vegetation indices for the canary bean crop, which were used for predictive models, obtaining a maximum correlation of R2 = 0.79. On the other hand, the estimated indices of multispectral images did not show significant correlations. |
| format | info:eu-repo/semantics/workingPaper |
| id | INIA1854 |
| institution | Institucional Nacional de Innovación Agraria |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI |
| publisherStr | MDPI |
| record_format | dspace |
| spelling | INIA18542023-11-07T14:52:09Z Prediction of biometric variables through multispectral images obtained from UAV in beans (Phaseolus vulgaris L.) during ripening stage Quille Mamani, Javier Alvaro Porras Jorge, Rossana Saravia Navarro, David Herrera, Jordán Chávez Galarza, Julio César Arbizu Berrocal, Carlos Irvin Vegetation índices Precision agricultura RGB images https://purl.org/pe-repo/ocde/ford#4.04.00 Here, we report the prediction of vegetative stages variables of canary bean crop by means of RGB and multispectral images obtained from UAV during the ripening stage, correlating the vegetation indices with biometric variables measured manually in the field. Results indicated a highly significant correlation of plant height with eight RGB image vegetation indices for the canary bean crop, which were used for predictive models, obtaining a maximum correlation of R2 = 0.79. On the other hand, the estimated indices of multispectral images did not show significant correlations. Abstract. 1. Introduction. 2. Materials and Methods. 3. Results. 4. Discussion and conclusions. References 2022-09-05T17:01:12Z 2022-09-05T17:01:12Z 2021-06-04 info:eu-repo/semantics/workingPaper Quille, J.; Porras, R.; Saravia, D.; Herrera, J.; Chavez, J.; Arbizu, C.I. (2021). Prediction of Biometric Variables Through Multispectral Images Obtained From Uav in Beans (Phaseolus vulgaris L.) During Ripening Stage. Preprints, 2021060139. doi: 10.20944/preprints202106.0139.v1 https://hdl.handle.net/20.500.12955/1854 Preprints https://doi.org/10.20944/preprints202106.0139.v1 eng https://doi.org/10.20944/preprints202106.0139.v1 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/ application/pdf application/pdf Perú MDPI Suiza Instituto Nacional de Innovación Agraria Repositorio Institucional - INIA |
| spellingShingle | Vegetation índices Precision agricultura RGB images https://purl.org/pe-repo/ocde/ford#4.04.00 Quille Mamani, Javier Alvaro Porras Jorge, Rossana Saravia Navarro, David Herrera, Jordán Chávez Galarza, Julio César Arbizu Berrocal, Carlos Irvin Prediction of biometric variables through multispectral images obtained from UAV in beans (Phaseolus vulgaris L.) during ripening stage |
| title | Prediction of biometric variables through multispectral images obtained from UAV in beans (Phaseolus vulgaris L.) during ripening stage |
| title_full | Prediction of biometric variables through multispectral images obtained from UAV in beans (Phaseolus vulgaris L.) during ripening stage |
| title_fullStr | Prediction of biometric variables through multispectral images obtained from UAV in beans (Phaseolus vulgaris L.) during ripening stage |
| title_full_unstemmed | Prediction of biometric variables through multispectral images obtained from UAV in beans (Phaseolus vulgaris L.) during ripening stage |
| title_short | Prediction of biometric variables through multispectral images obtained from UAV in beans (Phaseolus vulgaris L.) during ripening stage |
| title_sort | prediction of biometric variables through multispectral images obtained from uav in beans phaseolus vulgaris l during ripening stage |
| topic | Vegetation índices Precision agricultura RGB images https://purl.org/pe-repo/ocde/ford#4.04.00 |
| url | https://hdl.handle.net/20.500.12955/1854 https://doi.org/10.20944/preprints202106.0139.v1 |
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