Precision Agriculture or Precision Farming is a concept of using the new technologies and collected field information doing the right thing, in the right place, at right time. It is a production system that promotes variable management practices within a field, according to site conditions. This system is based on new tools and sources of information provided by modern technologies. These include the global positioning system (GPS), geographic information systems (GIS), yield monitoring devices, soil, plant and pest sensors, remote sensing (RS), and variable rate technologies for applicators of inputs (Santosh et al. 2003). RS techniques play an important role in assessing crop condition and yield forecasting, acreage estimates of specific crops, detection of crop pests and diseases, disaster location and mapping, wild life management, water supply information and management, weather forecasting, range land management, and livestock surveys (Patil and Chetan 2017). Remote sensing technologies can provide an automatic and objective alternative to visual disease assessment of plant diseases (Mahlein et al. 2012). Production losses have been recorded in agricultural industries worldwide due to various diseases in plants, According to a study by (Huang et al. 2012). The Normalized Difference Vegetation Index (NDVI) is the most popular vegetation index that is extensively used to find the content of green in PA applications. It uses Red (R) and Near Infrared (NIR) channels to compute the NDVI index. More NIR light is absorbed by healthy vegetation; however, absorption ratio is very small for red light (Shafi et al. 2019). It is concluded that remote sensing can provide accurate information to guide agronomic and economic decision making. Precision agriculture is mainly drawn from developed countries, but in India there is still lack of adoption of the technology because of lack of knowledge and awareness among the farmers.