In recent years, dramatic evolution of precision agriculture technology has been driven by technologies such as sensors and controllers, telematics, and UAV. An intriguing area in the field of precision agriculture and UAV is big volume of data and its analysis that have not been dealt with in depth. The main objective of this project is proposed to develop a digital data processing tool and deliver them in a useful format to the end users. This involves three faceted methodical approach: 1) collection of large amounts of UAV images with regards to combinations of in-field sensors and UAV imagery 2) analyze and validate the combination of data with geospatial tools 3) Develop a web-based computer data processing program to analyze the big data and assess pant condition. The validation and correlation analysis results showed that UAV assessed NDVI are good indicator of crop nutrition along with the ground-based crop sensors.