Abstract
Cotton is major cash crop in India. Whenever disease occurs on the plant it causes reduction in production and also it effects on economy. Traditional way of monitoring disease is very hectic and time consuming. Healthy and Diseased leaves of cotton plant are collected from Harsul Sawangi regions of Aurangabad region. In this study ASD FieldSpec4 Spectroradiometer device is used for collection of hyperspectral data of cotton plant. This paper aims to examine the effect of disease on cotton plant. Spectral data is compared statistically. Discrimination is done among the healthy and diseased leaves for different regions of electromagnetic radiation. Ranges of Region: Blue (400 nm–525 nm), Green (525 nm–605 nm), Yellow (605 nm–655 nm), Red (655 nm–750 nm), and NIR (750 nm–1800 nm). Found higher reflectance in healthy leaves of than the diseased leaves of cotton plant.
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Acknowledgement
DST-FIST has supported this work with sanction number- SR/FST/ETI340/2013. Authors are thankful to DST-FIST and Department of Computer Science and Information Technology of Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, Maharashtra, India. For providing necessary infrastructure and support.
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Randive, P.U., Deshmukh, R.R., Janse, P.V., Gupta, R.S. (2019). Discrimination Between Healthy and Diseased Cotton Plant by Using Hyperspectral Reflectance Data. In: Santosh, K., Hegadi, R. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2018. Communications in Computer and Information Science, vol 1037. Springer, Singapore. https://doi.org/10.1007/978-981-13-9187-3_30
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DOI: https://doi.org/10.1007/978-981-13-9187-3_30
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