Spectral discrimination of healthy and malformed mango panicles using spectroradiometer

Abstract

The potential of using hyperspectral reflectance data to discriminate healthy and malformed mango panicles, both under field and laboratory conditions was evaluated. The spectral reflectance of both malformed and healthy panicles were collected using ground based portable ASD FS3 spectroradiometer. The spectral data were analyzed with four different indices. Among all the indices Normalized Difference Vegetation Index (NDVI) was found to be the best parameter in differentiating the healthy (0.495) and malformed (0.751) mango panicles significantly under laboratory conditions. NDVI can be used in the differentiation of healthy and malformed mango panicles. The red-edge value (0.0106 and 0.0113) and red edge (692 and 697) position was significantly different for healthy and malformed mango panicles respectively. Hence, it can be concluded that spectral reflectance based indices will be a potential tool in the identification of malformed mango panicles spatially through remote sensing data.