LeCun, Y., Bottou, L., Bengio, Y. and Haffner, P. (1998) Gradient-Based Learning Applied to Document Recognition, Proceedings of the IEEE, 86, 2278-2324.
https://doi.org/10.1109/5.726791

has been cited by the following article:

• TITLE: Detection of “Swollen Shoot” Disease in Ivorian Cocoa Trees via Convolutional Neural Networks

  AUTHORS: Mamadou Coulibaly, Konan Hyacinthe Kouassi, Silue Kolo, Olivier Asseu

  KEYWORDS: Drone, Convolutional Neural Networks, Image Recognition, Feature Detection

  JOURNAL NAME: Engineering, Vol.12 No.3, March 12, 2020

  ABSTRACT: Recent advances in diagnostics have made image analysis one of the main areas of research and development. Selecting and calculating these characteristics of a disease is a difficult task. Among deep learning techniques, deep convolutional neural networks are actively used for image analysis. This includes areas of application such as segmentation, anomaly detection, disease classification, computer-aided diagnosis. The objective which we aim in this article is to extract information in an effective way for a better diagnosis of the plants attending the disease of “swollen shoot”.