title: Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classification.
abstract: The latest generation of convolutional neural networks (CNNs) has achieved impressive results in the field of image classification. This paper is concerned with a new approach to the development of plant disease recognition model, based on leaf image classification, by the use of deep convolutional networks. Novel way of training and the methodology used facilitate a quick and easy system implementation in practice. The developed model is able to recognize 13 different types of plant diseases out of healthy leaves, with the ability to distinguish plant leaves from their surroundings. According to our knowledge, this method for plant disease recognition has been proposed for the first time. All essential steps required for implementing this disease recognition model are fully described throughout the paper, starting from gathering images in order to create a database, assessed by agricultural experts. Caffe, a deep learning framework developed by Berkley Vision and Learning Centre, was used to perform the deep CNN training. The experimental results on the developed model achieved precision between 91% and 98%, for separate class tests, on average 96.3%.
authors.affiliation: Department of Industrial Engineering and Management, Faculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovica 6, 21000 Novi Sad, Serbia.
authors.forename: Srdjan
authors.initials: S
authors.lastname: Sladojevic
authors.affiliation: Department of Industrial Engineering and Management, Faculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovica 6, 21000 Novi Sad, Serbia.
authors.forename: Marko
authors.initials: M
authors.lastname: Arsenovic
authors.affiliation: Department of Industrial Engineering and Management, Faculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovica 6, 21000 Novi Sad, Serbia.
authors.forename: Andras
authors.identifier: 0000-0003-4642-9382
authors.initials: A
authors.lastname: Anderla
authors.affiliation: Department of Information Engineering and Computer Science, University of Trento, Via Sommarive 9, Povo, 38123 Trento, Italy.
authors.forename: Dubravko
authors.initials: D
authors.lastname: Culibrk
authors.affiliation: Department of Industrial Engineering and Management, Faculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovica 6, 21000 Novi Sad, Serbia.
authors.forename: Darko
authors.initials: D
authors.lastname: Stefanovic
mesh_terms: D000465:Algorithms; D016208:Databases, Factual; D007091:Image Processing, Computer-Assisted; D016571:Neural Networks, Computer; D010935:Plant Diseases / Q000145:classification*; D018515:Plant Leaves / Q000145:classification*; D015203:Reproducibility of Results