Aplicación móvil para detección y tratamiento de daños de los cultivos de la parroquia Taura del cantón Durán, mediante el uso de software de análisis de imagen basado en técnicas de Machine Learning.

Abstract

The project is based on identifying the most well-known pests and diseases of the Taura parish of the Duran canton, obtaining a database of images of each plague, disease or damage to train a neural network with algorithms of convolutional networks used in machine learning and generate a model that is able to identify the pests, diseases and damages that are present in the plant captured by the image sensor of mobile devices, upon completion a mobile application is developed that will use it together with the native libraries of the platforms, show how result the plague that have presence in the plant with its description, characteristics and recommendations to treat them and be able to take care of the crops in a more efficient way, saving in high cost devices, specialized labor or companies that offer similar services, instructing the novice or experienced farmers the possibilities of using technology and an agricultural activity.