**13. Conclusion**

The resolution of the satellite images (MODIS- minimum resolution 250 m, LANDSAT- minimum resolution 15 m) are the key constraints in this field. Agricultural fields are so much versatile in nature with respect to moisture content, topography, elevation, nutrient content that the empirical relationship established between source to sink is highly vulnerable. Standardized relationship between the crop spectral characteristics and physio-chemical properties needs to be established crop specifically. The initial installation cost of a satellite is till now very high and out of scope for an individual. The lone application of remote sensing in precision agriculture may lead to confusion and wastage of resources so the importance of ground truthing still remain pertinent. This makes the application of satellite derived remotely sensed data quite complicated and costly for the policy makers. The recent advancement in high

resolution field level image processing obtained through drones compiled with the satellite derived knowledge is quite promising. Though the remote sensing applications have a lot of theoretical consideration and backdrops, it has a huge scope in agricultural sciences to serve the humanity with higher production, vulnerability prediction and impact assessment under the context of rapid climate change.
