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The primary goal of this project is to design and implement a fully autonomous UAV (Unmanned Aerial Vehicle) for precision agriculture and farm management. It provides high resolution, spectral images in narrowband blue, green, red, red edge, and near-infrared bands. The secondary goal of this project is to develop a UGV (Unmanned Ground Vehicle) equipped with multiple sensors to provide a high level of autonomy for environmental modeling and to obtain real time images. Images from the UAV and the UGV are then processed with specific indices such as Normalized Difference Vegetation Index NDVI, Renormalized Difference Vegetation Index RDVI, Optimized Soil Adjusted Vegetation Index OSAVI, D. Enhanced Normalized Difference Vegetation Index ENDVI, Soil Adjusted Vegetation Index SAVI to obtain useful output for farm management.
Vasudevan et al. (Fri,) studied this question.