Paper
21 October 2019 Application of remote sensing for detecting plant disease using color and morphological features
Author Affiliations +
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.
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Arkadi Zilberman, Jiftah Ben Asher, Natan S. Kopeika, and Yaniv Reshef "Application of remote sensing for detecting plant disease using color and morphological features", Proc. SPIE 11149, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXI, 111491T (21 October 2019); https://doi.org/10.1117/12.2532810
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KEYWORDS
Remote sensing

Image processing

Agriculture

Associative arrays

Color imaging

Data analysis

Reflectivity

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