In the recent era mapping of particular crop becomes an interdisciplinary nature in which agricultural and geo-informatics sectors comes together and monitoring the particular crop. In order to analyze the potential of remote sensing based technology for the mapping of crops in horticulture field, the present study was initiated for the discrimination and classification of citrus orchards with the help of multi-temporal satellite data. To achieve the objectives of the study Multi-date Sentinel-2 images covering the study area were acquired. The major challenge was to discriminate the Citrus plantation from agriculture and other plantation cover. After analyzing the multi-temporal data the optimum dates depicting the clear differentiation between the citrus plantation and associated other agricultural and horticultural crops were selected. The NDVI of the selected optimum multi-date data was layer stacked. The supervised classification based approach wa performed with the help of ground truth points for the identification and discrimination of Citrus orchards. This study provides the potential of using high-resolution NDVI imagery of Sentinel-2 for the identification, discrimination and demarcation of citrus orchards.