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Leaf Surface Wetness Detection Using Ground Based Multispectral Imaging

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan

Citation:  Paper number  033130,  2003 ASAE Annual Meeting . (doi: 10.13031/2013.15325)
Authors:   Nagarajan Ramalingam, Peter P. Ling, Richard C. Derksen
Keywords:   Reflectance, Background-reflectance compensation, Sensors, Plant monitoring

Non-contact sensing using multispectral imaging was evaluated for rapid, nonintrusive sensing of leaf surface wetness. The changes in spectral reflectance in near-infrared (700-1300 nm) and mid-infrared ranges (1300 to 2500 nm) caused by leaf surface moisture were investigated. Spectrophotometric imaging, where both spatial and spectral information were simultaneously acquired, was used for object identification and characterization. Multispectral images were recorded using a broadband camera fitted with a filter wheel with high precision interference filters. Spectral and spatial background-reflectance compensation approaches were evaluated for accurate leaf surface water analyses. To evaluate the feasibility of using the multispectral technique to quantify leaf surface moisture, a sensitivity analysis was performed to estimate the minimum detectable surface water thickness.

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