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| Campo DC | Valor | Lengua/Idioma |
|---|---|---|
| dc.contributor.author | MENDES, P. S. | |
| dc.contributor.author | BORGES, G. C. | |
| dc.contributor.author | NARCISO, M. G. | |
| dc.date.accessioned | 2026-02-25T14:49:14Z | - |
| dc.date.available | 2026-02-25T14:49:14Z | - |
| dc.date.created | 2026-02-25 | |
| dc.date.issued | 2025 | |
| dc.identifier.citation | In: STUDIES and sciences in agriculture. 3. ed. [S.l.]: Impacto Científico, 2025. | |
| dc.identifier.isbn | 978-65-83265-60-9 | |
| dc.identifier.uri | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1184669 | - |
| dc.description | A phenotyping platform is a set of equipment, sensors, software, and methods used to measure plant characteristics (phenotypes) in a standardized, rapid, and often automated manner. It allows the quantification of traits such as plant height, leaf area, biomass, growth over time, water use and resistance to water stress, chlorophyll and pigment content, diseases and pests, productivity, and plant architecture, among others. The phenotyping platform transforms images and sensor-derived values into measured plant data for research, plant breeding, and precision agriculture. It can be used in the field or in a greenhouse. In the case of greenhouses, there are proprietary phenotyping platforms such as Lemnatec, Phenospex, WIWAM, FluorCam / PSI (Photon Systems Instruments), Qubit Systems, and others. These platforms are not available at reasonable prices, and therefore not every research institution has access to a phenotyping platform to accelerate phenotyping-related research. This study proposes viable, low-cost alternatives for selecting more productive and water-stress-resistant plant varieties using a simplified phenotyping platform focused on water stress under greenhouse conditions. | |
| dc.language.iso | eng | |
| dc.rights | openAccess | |
| dc.subject | Plataforma | |
| dc.subject | Fenotipagem | |
| dc.subject | Estresse hídrico | |
| dc.title | Low-cost phenotyping plataform to assess water stress in plants. | |
| dc.type | Parte de livro | |
| dc.subject.thesagro | Estufa | |
| dc.subject.thesagro | Seleção Fenótipa | |
| dc.subject.nalthesaurus | Phenotypic variation | |
| riaa.ainfo.id | 1184669 | |
| riaa.ainfo.lastupdate | 2026-02-25 | |
| dc.identifier.doi | https://doi.org/10.56238/edimpacto2025.085-006 | |
| dc.contributor.institution | PATRICK SOARES MENDES, UFG; GUILHERME COUTO BORGES, UFG; MARCELO GONCALVES NARCISO, CNPAF. | |
| Aparece en las colecciones: | Capítulo em livro científico (CNPAF)![]() ![]() | |
Ficheros en este ítem:
| Fichero | Tamaño | Formato | |
|---|---|---|---|
| Narciso-2025-Impacto-Cientifico.pdf | 1,37 MB | Adobe PDF | Visualizar/Abrir |







