Hyper Spectral Imaging for Precision Agriculture
Engineering
EE 198 (Independent Study)
The goal of the research project is to develop a low cost Unmanned Aerial Vehicle (UAV) capable of producing hyperspectral maps of designated areas. Currently, hyperspectral cameras on the market are too heavy for mounting on small UAVs and can be unnecessarily expensive. This project aims to use an ultra-lightweight, cost efficient MEMS Fabry-Perot Interferometer (MEMS FPI) to replace the hyperspectral camera. The MEMS FPI can be used as a tunable filter to analyze a variety of light waves. By tuning the filter on the MEMS FPI we can capture and analyze a range of wavelengths that can replicate the results of a hyperspectral camera. The final product of the project will allow the UAV to map fields and collect humidity content, nutrient content, as well as other data, mainly, but not limited, to farmers. An example of this application is mapping out areas in which water is most prevalent. By using this information, farmers are able to only water areas in which water is needed, therefore saving resources. This project aims to tackle the issue of sustainability especially since resources such as water are becoming scarce.
