Support system in the detection of lesions of blackleg of oilseed rape, by means of image processing and artificial neural networks: Empirical case study preventive type for fungal alerts

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Autor:
Levano Huamaccto, Marco - Montandon, E.
URI:
http://repositoriodigital.uct.cl/handle/10925/2274
Datos de publicación:
9th International Conference on Information, Intelligence, Systems and Applications, IISA 2018; N°8633678, 2019
Temas:
Algoritmos - Colza - Hongos - Procesamiento automático - Enfermedad de la pata negra
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Resumen:
This paper proposes a framework for detecting lesions of blackleg of oilseed Rape. The idea of the investigation is to develop an algorithm of automatic processing that allows to recognize symptoms of an illness in Rape leaves, so a precise diagnostic can be made and make an early alert of the presence of the illness in Raps cultures, a typical agricultural activity in Araucanía Region. The application of these technique is beneficial for the development of informatic engineering for support of agronomy and agricultures. The study in focused in investigate and experiment the identification of failures in Rape by using digital image processing and artificial neuronal nets techniques

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