Identification of Huanglongbing symptoms in citrus leaves by deep learning techniques
Keywords:
Deep Learning, Transfer Learning, Mobile Application, Huanglongbing, CitrusAbstract
rtificial vision systems allow automating tasks that require trained personnel to identify relevant characteristics of certain objects. This paper describes the development of a mobile application that uses deep learning tech-niques to identify symptoms of Huanglongbing and nutritional deficiencies in citrus tree leaves. The transfer learning models Inception and MobileNet using Tensorflow and Python were evaluated. A mobile application was created for Android that managed to correctly classify 89% of the sheet images of an evaluation set using the MobileNet model. The application generated will improve the identification of symptoms in leaves of citrus trees during monitoring in cit-rus plantations.
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Copyright (c) 2019 Javier Berger, César Preussler, Juan Pedro Agostini
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