Decision-making algorithms for the identification of crops based on remote sensing data

Abstract The article presents an algorithm for collective management decision-making. developed is based on Bayesian mechanisms resolving contradictions when choosing methods processing of decisions. used phased Earth remote sensing data in order to identify agricultural crops. Functional satellite images created using the increase accuracy identifying plant objects. With help GPS navigator observation points linked by geographical coordinates, reference have been created, according which classification functional accomplished, with most accurate results distribution pasture crops contrast original image. was performed four types vegetation studied territory Northern and Southern Nuratau Republic Uzbekistan. Based obtained, field work carried out test obtained relation identification territories.