For crop spraying – drones have the ability to adjust to altitudes and flight paths according to the topography and the geography of the region. if there is any inadequate supply of water then the infrared and thermal sensors provide the data of areas that get too little supply of water and help in quick action. 
For Irrigation – drones detect hydric stress in the farm lands, i.e. 
An early detection of a bacterial or fungal infection helps in quick remedial action.
For Health assessment – drones generate multi-spectral images of crops that help in the analysis of health and maturity of the crops. For water control and drainage – drones monitor the crops frequently and provide regular update for the development and improvement of crop yield. For Crop monitoring – this is done by the process of satellite imaginary, but has some major drawbacks like too costly, imprecise images, poor weather has a bad impact on the data quality. 
For soil and field analysis – 3D maps are created by the drones and are later used for the design of planting seeds and also for the generation of data types with many applications like nitrogen-level management. The UAS technology can also be used to document the illegal land and resource use. The remotely sensed data helps to speed up the process of conducting crop inventories and yield estimates. These algorithms help as a guide for providing fertilizer inputs to the crops. The information provided by the NDVI is built upon through field visits and dedicated algorithms. The NDVI speaks of different biomass levels in the soil, water stress, nutrient deficiencies, pest infestation, crop diseases, etc. The images are stitched to generate spectral reflectance band, which can be utilized to calculate indexes such as Normalized Difference Vegetation Index (NDVI), Leaf Area Index (LAI) and the Photochemical Reflectance Index (PRI) 
These devices can collect multispectral images through the sensors attached to them. The basic use of a UAS is to help farmers get a birds-eye-view of their crops so that they can detect subtle changes that cannot be readily identified by scouting crops at the ground level.
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