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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 pr...
Enlace original:
http://repositoriodigital.uct.cl/handle/10925/2274
Levano Huamaccto, Marco
,
Montandon, E.
,
[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]
,
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
