Abstract
Red edge position is observed between 680 and 780 nm of spectral reflectance of green vegetation. REP has a strong correlated with foliar chlorophyll content, and this is one of the key indicators of plant health. In this paper, improved linear extrapolation technique is proposed, which generalizes the processes of finding four points used for detecting red edge position. Hyperspectral reflectance of healthy and infected plants was recorded using Analytical Spectral Devices (ASD) FieldSpec Pro spectroradiometer in the range of 350–2500 nm. Reflectance and first-order derivative transform in the range 680–780 nm is used for experimentation. Results are compared with maximum first derivative, linear interpolation and linear extrapolation techniques. It is observed that improved linear extrapolation technique is more precise in detecting REP for plant health monitoring. Results are also verified by calculating hyperspectral vegetation indices of red edge region.
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Ghule, A., Deshmukh, R.R. (2020). Improved Linear Extrapolation Technique for Crop Health Monitoring Using Hyperspectral Data. In: Bansal, J., Gupta, M., Sharma, H., Agarwal, B. (eds) Communication and Intelligent Systems. ICCIS 2019. Lecture Notes in Networks and Systems, vol 120. Springer, Singapore. https://doi.org/10.1007/978-981-15-3325-9_8
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DOI: https://doi.org/10.1007/978-981-15-3325-9_8
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