Coffee Crops Analysis Using UAVs Equipped with Multispectral Cameras

The use of Unmanned Aerial Vehicles (UAVs) equipped with spectral cameras has increased in recent years, especially the agricultural sector, because it allows farmers and researchers to analyze state a crop, i.e., health, nutrients, growth, epidemics, among other parameters. In Colombia, coffee production sector faces several challenges, such as need increase productivity, yield, quality coffee. This work estimated health status Castilla variety crop located San Joaquín, Tambo, Cauca support decision-making growers. For this, chlorophyll data were measured field CCM-200 plus device, multispectral images captured MAPIR SURVEY 3 camera airborne on SOLO 3DR UAV, synthetic generated set. Six vegetation indices set, which—together values—were modeled through implementation simple multiple linear regressions, decision trees, vector machines, random forests, k-nearest neighbors. model best performance lowest mean square error was disorder machine. Likewise, models CVI, GNDVI, GCI, which are widely used agriculture estimate plants.