Publicado:
2023-02-12Número:
Vol. 17 Núm. 1 (2023)Sección:
Visión InvestigadoraSistema inteligente de prescripción de riego agrícola basado en redes de sensores y modelado de cultivos
Intelligent agricultural irrigation prescription system based on sensor networks and crop modeling
Palabras clave:
Agricultura, Inteligencia, Prescripción, Redes de sensores inalámbricas, Riego (es).Palabras clave:
Agriculture, Intelligence, Prescription, Wireless Sensor Networks, Irrigation (en).Descargas
Resumen (es)
La gestión inteligente del agua en agricultura mediante el uso de las tecnologías emergentes es esencial para aumentar el rendimiento de los cultivos, disminuir costos de producción y contribuir a la sostenibilidad ambiental. El propósito de este trabajo de investigación fue el de implementar un sistema inteligente de prescripción de riego agrícola. Se implementaron nodos de adquisición y transmisión inalámbrica de datos de potencial matricial del suelo hasta cuatro profundidades, temperatura de la cobertura vegetal, temperatura ambiente y humedad relativa. El sistema de inferencia fue implementado en una estación central que recibe los datos en campo, en donde se determina la prescripción de riego. La validación de los resultados se realizó usando el software de modelamiento de cultivos AquaCrop. El sistema desarrollado permitió determinar prescripciones de agua diarias según el tipo de suelo y el estado fenológico del cultivo, con el propósito de evitar excesos y deficiencias en la aplicación.
Resumen (en)
The intelligent management of water in agriculture through emerging technologies is essential to increase crop yields, reduce production costs and contribute to environmental sustainability. The aim of this research work was to implement an intelligent agricultural irrigation prescription system. Nodes for the acquisition and wireless transmission of data on soil matric potential up to four depths, canopy temperature, environmental temperature and relative humidity were implemented. The inference system was implemented in a central station that receives data from the field, where the irrigation prescription is determined. The validation of results was carried out using the AquaCrop crop modeling software. The developed system allowed determining daily water prescriptions according to soil type and crop phenology, to avoid excesses and deficiencies in the application.
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