Title: Fuzzy detection orange tree leaves diseases using a co-occurrence matrix-based K-nearest neighbours classifiers

Authors: Fatimazahra Jakjoud; Anas Hatim; Abella Bouaddi

Addresses: Laboratory of Energy Engineering, Materials and Systems, National School of Applied Sciences, IbnZohr University, Avenue Tamesoult, Agadir 800000, Morocco ' Laboratory of Energy Engineering, Materials and Systems, National School of Applied Sciences, IbnZohr University, Avenue Tamesoult, Agadir 800000, Morocco ' Laboratory of Energy Engineering, Materials and Systems, National School of Applied Sciences, IbnZohr University, Avenue Tamesoult, Agadir 800000, Morocco

Abstract: The improvement of production efficiency in the farming environment is nowadays of a great interest in the agriculture industry. Several techniques and technologies are used to overcome the main problems facing the developments on this field. In this paper, the farms image processing-based automatic monitoring is treated. We propose an image processing approach for lemon tree leaves diseases. Our approach is a combination of a fuzzy decision maker and KNN classifiers based on Haralick parameters extracted from the co-occurrence matrix. The testing results are very satisfactory and the efficiency of our system could reach aver than 90% for a limited database.

Keywords: leaf disease detection; orange trees leaves; co-occurrence matrix; K-nearest neighbours; fuzzy logic.

DOI: 10.1504/IJKESDP.2019.103909

International Journal of Knowledge Engineering and Soft Data Paradigms, 2019 Vol.6 No.3/4, pp.185 - 195

Received: 07 Jul 2018
Accepted: 12 Mar 2019
Published online: 02 Dec 2019 *

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