 The use of unmanned aerial vehicles, UAV, based remote sensing with tetra-cam multispectral data offers great potential for acquiring field data for precision agriculture applications, particularly for studying crop health. This paper reports experiences related to the analysis of vineyards and tomatoes using this technique, which involves mounting the tetra-cam camera on a multi-rotor hexacopter and processing the multispectral data with photogrammetric techniques to create tri-band ortho-images. The vegetation vigor for each crop is examined using vegetation indices such as NDVI, GNDVI, and SAVI. The paper suggests that high-resolution UAV data and photogrammetric techniques are a fast, reliable, and cost-effective resource in crop assessment for precision farming applications. This article was authored by Sebastian Candiago, Fabio Rimondino, Mikayla de Giglio, and others.