Deep learning for agricultural products price forecasting: the case of Ecuador

The application of forecasting techniques in the agriculture industry started with an agricultural commodity prediction almost a century ago. However, currently, the same application is not at all explored in the same field. For instance, in the Ecuadorian context, farmers have to suffer the volatil...

• Huvudupphovsman: Noboa Chávez, Sherald Damián (author)
• Materialtyp: bachelorThesis
• Språk: eng
• Publicerad: 2021
• Ämnen: Predicción productos agrícolas; Aprendizaje profundo; Ajuste de hiperparámetros; Ecuador; Commodity forecasting; Deep learning; Hyper-parameter tuning
• Länkar: http://repositorio.yachaytech.edu.ec/handle/123456789/456