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Listar por autor "Yousfi, Salima"

Mostrando ítems 1-6 de 6

A Rhizogenic Biostimulant Effect on Soil Fertility and Roots Growth of Turfgrass

Yousfi, Salima; Marin, José; Parra, Lorena; Lloret, Jaime; Mauri, Pedro V. (MDPI, 2021-03-18)

[EN] The excessive use of chemical fertilizers can lead to severe environmental damages. In recent decades, the application of biostimulants to improve soil composition and stimulate plant growth has contributed significantly ...
Drone RGB Images as a Reliable Information Source to Determine Legumes Establishment Success

Parra-Boronat, Lorena; Mostaza-Colado, David; Yousfi, Salima; Marin, Jose F.; Mauri, Pedro V.; Lloret, Jaime (MDPI AG, 2021-09)

[EN] The use of drones in agriculture is becoming a valuable tool for crop monitoring. There are some critical moments for crop success; the establishment is one of those. In this paper, we present an initial approximation ...
Edge detection for weed recognition in lawns

Parra, Lorena; Marin, Jose; Yousfi, Salima; Rincón, Gregorio; Mauri Ablanque, Pedro Vicente; Lloret, Jaime (Elsevier, 2020-09)

[EN] The rapid propagation of weeds is a major issue for turfgrass management (both ornamental and sports turf). While pesticides can ensure weed eradication, they pose a risk to human health and the environment. In this ...
Evaluating the Effects of Environmental Conditions on Sensed Parameters for Green Areas Monitoring and Smart Irrigation Systems

Mauri Ablanque, Pedro Vicente; Parra-Boronat, Lorena; Yousfi, Salima; Lloret, Jaime; Marin, Jose F. (MDPI AG, 2021-03-23)

[EN] The irrigation of green areas in cities should be managed appropriately to ensure its sustainability. In large cities, not all green areas might be monitored simultaneously, and the data acquisition time can skew the ...
Remote sensing devices as key methods in the advanced turfgrass phenotyping under different water regimes

Yousfi, Salima; Marin, José; Parra, Lorena; Lloret, Jaime; Mauri, Pedro V. (Elsevier, 2022-05-31)

[EN] Turfgrass phenotyping is a potential tool in different grass program breeding. The traditional methods for turfgrass drought phenotyping in field are time-consuming and labor-intensive. However, remote sensing techniques ...
RGB Vegetation Indices, NDVI, and Biomass as Indicators to Evaluate C-3 and C-4 Turfgrass under Different Water Conditions

Marín, José; Yousfi, Salima; Mauri, Pedro V.; Parra, Lorena; Lloret, Jaime; Masaguer, Alberto (MDPI AG, 2020-03-02)

[EN] Grasslands have a natural capacity to decrease air pollution and a positive impact on human life. However, their maintenance requires adequate irrigation, which is difficult to apply in many regions where drought and ...