Detección de severidad de plagas utilizando RNC en cultivo del durazno en Departamento Norte De Santander, Colombia
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https://doi.org/10.61799/2216-0388.1523Palabras clave:
Roya, Torque, Redes Neuronales Convolucionales, Durazno, Aprendizaje ProfundoResumen
La creciente emergencia por aumentar los rendimientos de los cultivos, en pro de una menor carga negativa al ambiente, se han utilizado productos para protección de cultivos para impedir la aparición de plagas y enfermedades que generen pérdidas, o complicaciones de índole cuaternario que impacten mucho más en la comercialización y producción en la agricultura, esto ha causado que se generen herramientas tecnológicas para la detección de manera preventiva; para el manejo de las distintas plagas y enfermedades de cultivos agrícolas. En el manuscrito se presenta el uso de técnicas del aprendizaje automático como lo son las redes neuronales convolucionales que ayudan a la detección en especial del Torque y la Roya, las cuales son las principales afectaciones en la merma de la producción del durazno en la zona norte de Santander – Colombia.
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Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial 4.0.
