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Proceedings Paper

Application of remote sensing for detecting plant disease using color and morphological features
Author(s): Arkadi Zilberman; Jiftah Ben Asher; Natan S. Kopeika; Yaniv Reshef
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Paper Abstract

Remote sensing provides the ability for relatively rapid and early detection of the spatial distribution of a plant disease using methods based on thermography and canopy reflectance in visual and near-infrared wavebands. By remote mapping using color imaging and subsequent data analysis routines, it is possible to realize early detection, identification, and quantification of different relevant plant diseases. In the present work, an applicability of remote sensing with digital color imaging for detecting plant disease is demonstrated. The color and morphological features are used for analysis and classification purposes. As a case study, the image processing is applied to the color photos of banana fields obtained by a manned aerial vehicle equipped with a high resolution camera. Major banana diseases (e.g. panama etc.) exhibit symptoms on leaf area in their earlier stage of infection. Change of color and morphology features act as criteria used to identify and classify the disease. The results of plant disease recognition and identification are demonstrated.

Paper Details

Date Published: 21 October 2019
PDF: 9 pages
Proc. SPIE 11149, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXI, 111491T (21 October 2019); doi: 10.1117/12.2532810
Show Author Affiliations
Arkadi Zilberman, Ben-Gurion Univ. of the Negev (Israel)
Jiftah Ben Asher, Ben-Gurion Univ. of the Negev (Israel)
Natan S. Kopeika, Ben-Gurion Univ. of the Negev (Israel)
Yaniv Reshef, Reshef-Aviation (Israel)

Published in SPIE Proceedings Vol. 11149:
Remote Sensing for Agriculture, Ecosystems, and Hydrology XXI
Christopher M. U. Neale; Antonino Maltese, Editor(s)

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