The goal of precision agriculture is to more efficiently apply a farm’s limited resources to gain maximum yield. A primary method for doing that is to minimize variability of crop health within and across fields.
Due to its nature, precision agriculture requires a LOT of data to work. The three main types of data include:
1. Geo-tagged images: visible and multi-spectral aerial images taken of fields, over time; this is where drones play
2. Equipment performance: real time feedback & logs provided by sensor-equipped manned and unmanned equipment such as seeders, spreaders, tractors and combines
3. Management data: crop yield and other data provided by farm operators
The use of precision agriculture technologies is growing very quickly, globally.