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espanolEl cambio climatico en el planeta ha afectado la produccion mundial de trigo. En este sentido, los pronosticos aseguran que estos cambios y efectos seran mayores conforme pase el tiempo. Considerando la importancia de este cereal como alimento de la dieta basica de los seres humanos, se propone una nueva forma de evaluacion del cultivo que permita pronosticar el dano probable por etapa fenologica por medio de una red neuronal artificial entrenada con datos historicos del comportamiento climatico global e impacto fenologico. Un sistema de resultados interpreta la salida y constituye la interfaz de usuario. La propuesta fue validada y mostro su capacidad de generalizacion alcanzando alta precision de 84%, por lo que se considera adecuada. EnglishThe action of Climate Change on the planet has affected the world wheat production, the forecasts ensure that these changes and effects will be greater over time. Considering the importance of this cereal as a food of the basic diet of human beings, this work proposes a new form of crop evaluation that allows to forecast probable damage by phenological stage, through an Artificial Neural Network trained with historical data of global climatic behavior and phenological impact, a results system interprets the output and constitutes the user interface. The proposal was validated, showed its generalization capacity and reached high precision of 84%, so it is considered adequate.

Evaluador inteligente de daño fenológico en la planta de trigo