A processor-implemented method assessing soil carbon sequestration of farm based on remote sensing comprising: receiving a plurality of satellite data from a satellite, via a one or more hardware processor, wherein the satellite data is obtained by remote sensing a land area and comprises a plurality of satellite images with corresponding geo co-ordinates, a carbon map, a plurality of agroclimatic zone for the plurality of satellite images, a biological yield, a Soil Organic Carbon Below Ground (SOC BG) and an Organic Carbon Above ground (OC AG); receiving a plurality of farming data from a plurality of sources, via the one or more hardware processor, wherein the plurality of farming data is associated with a farm in the land area and comprises the farm's location, the farm's geo-coordinates and a crowd sourcing data; locating the farm in the plurality of satellite data using the plurality of farming data, via the one or more hardware processor, based on a location identification technique; identifying an agroclimatic zone and a suitable crop for the farm using the plurality of satellite data, via the one or more hardware processor, wherein the agroclimatic zone and the suitable crop are identified based on a Machine Learning technique; estimating an initial Soil Organic Carbon level for the farm using the plurality of satellite data, via the one or more hardware processor, wherein the SOC level is estimated based on a carbon sequestration estimation technique; recommending a set of agricultural practices for a crop life cycle of the suitable crop using a carbon smart crop protocol, via the one or more hardware processor, wherein the carbon smart crop protocol is identified based on the agroclimatic zone and the SOC of the farm; continuously monitoring the farm for the crop life cycle of the suitable crop using the plurality of satellite data and the plurality of farming data based on a remote sensing technique, via the one or more hardware processor, wherein the remote sensing technique comprises estimating a crop health index and an adoption index; and assessing a soil carbon sequestration for the farm by computing a set of carbon sequestration parameters for the farm using the plurality of satellite data, the plurality of farming data, the agroclimatic zone, the initial SOC, the crop health index and the adoption index, via the one or more hardware processor, wherein the set of carbon sequestration parameters comprises a final SOC, a carbon loss and a net carbon sequestration level. receiving a plurality of satellite data from a satellite, via a one or more hardware processor, wherein the satellite data is obtained by remote sensing a land area and comprises a plurality of satellite images with corresponding geo co-ordinates, a carbon map, a plurality of agroclimatic zone for the plurality of satellite images, a biological yield, a Soil Organic Carbon Below Ground (SOC BG) and an Organic Carbon Above ground (OC AG); receiving a plurality of farming data from a plurality of sources, via the one or more hardware processor, wherein the plurality of farming data is associated with a farm in the land area and comprises the farm's location, the farm's geo-coordinates and a crowd sourcing data; locating the farm in the plurality of satellite data using the plurality of farming data, via the one or more hardware processor, based on a location identification technique; identifying an agroclimatic zone and a suitable crop for the farm using the plurality of satellite data, via the one or more hardware processor, wherein the agroclimatic zone and the suitable crop are identified based on a Machine Learning technique; estimating an initial Soil Organic Carbon level for the farm using the plurality of satellite data, via the one or more hardware processor, wherein the SOC level is estimated based on a carbon sequestration estimation technique; recommending a set of agricultural practices for a crop life cycle of the suitable crop using a carbon smart crop protocol, via the one or more hardware processor, wherein the carbon smart crop protocol is identified based on the agroclimatic zone and the SOC of the farm; continuously monitoring the farm for the crop life cycle of the suitable crop using the plurality of satellite data and the plurality of farming data based on a remote sensing technique, via the one or more hardware processor, wherein the remote sensing technique comprises estimating a crop health index and an adoption index; and assessing a soil carbon sequestration for the farm by computing a set of carbon sequestration parameters for the farm using the plurality of satellite data, the plurality of farming data, the agroclimatic zone, the initial SOC, the crop health index and the adoption index, via the one or more hardware processor, wherein the set of carbon sequestration parameters comprises a final SOC, a carbon loss and a net carbon sequestration level.