Exploració per autor "Serrano Porta, Lydia"
Ara es mostren els items 14-18 de 18
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Técnica de hidroponía en sacos verticales: aplicación al cultivo de planta madre ornamental
Marfà Pagès, Oriol; Savé, Robert; Serrano Porta, Lydia (1986)
Article
Accés obert -
The potential of wastewater grown microalgae for agricultural purposes: contaminants of emerging concern, heavy metals and pathogens assessment
Álvarez González, Ana; Uggetti, Enrica; Serrano Porta, Lydia; Gorchs Altarriba, Gil; Escolà Casas, Mònica; Matamoros Mercadal, Víctor; González Flo, Eva; Díez Montero, Rubén (2023-05)
Article
Accés obertIn the coming years, the use of microalgal biomass as agricultural biofertilizers has shown promising results. The use of wastewater as culture medium has resulted in the reduction of production costs, making microalgae-based ... -
Use of consumer-grade cameras to assess wheat N status and grain yield
Fernández Murcia, Enric; Gorchs Altarriba, Gil; Serrano Porta, Lydia (Public Library of Science (PLOS), 2019-02-01)
Article
Accés obertRelationships between (a) fractional Intercepted PAR (fIPAR), and (b) aboveground biomass (Biomass) and (c) grain yield at harvest with the Normalized Difference Vegetation Index (NDVI) derived either from a spectroradiometer ... -
Use of reflectance indices to assess vinewater status under mild to moderate water deficits
González Flor, Cristina; Serrano Porta, Lydia; Gorchs Altarriba, Gil (Multidisciplinary Digital Publishing Institute (MDPI), 2019-07-01)
Article
Accés obertThe monitoring of vine water status is of interest for irrigation management in order toimprove water use while optimizing both berry yield and quality. Remote-sensing techniques mightprovide accurate, rapid, and non-destructive ... -
Water availability affects the capability of reflectance indices to estimate berry yield and quality attributes in rain-fed vineyards
Serrano Porta, Lydia; Gorchs Altarriba, Gil (Multidisciplinary Digital Publishing Institute (MDPI), 2022-09-01)
Article
Accés obertRemote sensing methods are known to provide estimates of berry quality. However, previous studies have shown that the Normalized Difference Vegetation Index (NDVI) failed to predict berry quality attributes in rain-fed ...