Smart Farming-Reference-Cited by-同舟云学术

Smart Farming

Published:2023-01-30 Issue: Volume: Page:316-338
ISSN:2327-039X
Container-title:Handbook of Research on AI Methods and Applications in Computer Engineering
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Author:

Kallel Imen Fourati¹,Kallel Mohamed¹,Ghorbel Mahmoud²,Triki Mohamed Ali³

Affiliation:

1. Ecole Nationale d'Electronique et des Télécommunications de Sfax (ENET'Com), Tunisia

2. Centre de Recherche en Numérique de Sfax (CRNS), Tunisia

3. The Olive Tree Institute of Tunisia, Tunisia

Abstract

Olive trees diseases harm the quality and the quantity of the harvest seriously, which causes considerable economic losses for farmers, and more importantly affects the national economy in its entirety. The aim of this investigation is to work out a recognizing pattern method, based on the analysis of the texture and supervised classification. It essentially detects and classifies olive tree diseases in order to provide the farmers with tools helping them not only to get informed of their trees' diseases, but also to know how to treat them effectively.

Publisher

IGI Global

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