Project Details
Description
The high consumption of water for agricultural purposes represents a major challenge today, given the problems of water scarcity, population growth, and consequently food demand, requiring more efficient and water-saving irrigation systems. Therefore, this project aims to calculate evapotranspiration values, creating an estimation model for this parameter between two scenarios (inside and outside a greenhouse), by obtaining data with direct and indirect measurements and calculations to estimate irrigation water consumption for chili pepper cultivation in the greenhouse of the School of Agricultural Engineering of Instituto Tecnológico de Costa Rica in Cartago.
Therefore, the Penman-Monteith equation will be used as an indirect method, obtaining the necessary data for its calculation from the ICE meteorological station, climatological data provided by Servicio Nacional de Aguas Subterráneas, Riego y Avenamiento (SENARA), and sensors installed in the greenhouse. While the direct method will use lysimeters to obtain evapotranspiration values in both scenarios by mass difference.
Finally, to analyze the variability between direct and indirect measurements and calculations, statistical methods such as variances, deviations, and errors will be used both in the greenhouse and outdoors, as well as statistical and machine learning methods to obtain the ideal greenhouse evapotranspiration estimation model from outdoor data, using performance indices.
Therefore, the Penman-Monteith equation will be used as an indirect method, obtaining the necessary data for its calculation from the ICE meteorological station, climatological data provided by Servicio Nacional de Aguas Subterráneas, Riego y Avenamiento (SENARA), and sensors installed in the greenhouse. While the direct method will use lysimeters to obtain evapotranspiration values in both scenarios by mass difference.
Finally, to analyze the variability between direct and indirect measurements and calculations, statistical methods such as variances, deviations, and errors will be used both in the greenhouse and outdoors, as well as statistical and machine learning methods to obtain the ideal greenhouse evapotranspiration estimation model from outdoor data, using performance indices.
General Objective
Crear un modelo de estimación de la evapotranspiración para el cultivo de chile dentro de un invernadero, a partir de métodos directos e indirectos para la determinación del consumo de agua y el diseño preciso del sistema de riego en el invernadero de la Escuela de Ingeniería Agrícola del Instituto Tecnológico de Costa Rica en Cartago
Research Lines
water
| Short title | IRRI-MEET |
|---|---|
| Acronym | Evapo |
| Status | Active |
| Effective start/end date | 1/01/26 → 31/12/27 |
Collaborative partners
- Instituto Tecnológico de Costa Rica (lead)
- Servicio Nacional de Aguas Subterráneas, Riego y Avenamiento
- Universidade Estadual Paulista Júlio de Mesquita Filho
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