Methodology of recognizing the agricultural differences by the unsupervised calculation of NDVI images

Achievements of scientific process are used for increase the results of agricultural production, it’s not a secret for anybody. This article shows modern approaches to work with the agricultural production in a way to increase the quality of products and economic benefits of its growing, impact assessment of meteorological, ecological, geographical and geological components to the result of aging harvest. Modern way to receive this questions is use data of the satellite Earth monitoring and aerophotography as well as building the geographic information models of decision making support management. Calculations of vegetation indexes by the satellite images are used for define the condition of agricultural vegetation. The main index is NDVI. The supervised and unsupervised classifications are used for see more resolution in agricultural grows on each land area. The result of its calculations enables for operative detection of problem areas and for decision making process of resolve this questions.