DEVELOPMENT OF HARDWARE AND SOFTWARE ARCHITECTURE FOR ANALYSIS AND PROCESSING OF THE FIELD DATA
Keywords: Pilot Aircraft, Unmanned Aerial Vehicle, UAV, Remote Sensing, Humidity of The Surface Air Layer
Abstract. This article considers the problem of requiring the hardware and software implementation of complex calculations allowing automating the whole process of analysis and processing of the field data acquired using the sensors installed on UAV. The article reveals and substantiates the necessity of building a flexible architecture of the hardware-software complex. The hardware-software complex is focused on measuring humidity of the surface air layer above the soya field in order to control the irrigation quality. The measurements showed good correlation with the ground humidity factors. MCRI2 index was used to assess the state of vegetation in controlled areas. In the part of the field with high humidity, MCRI2 index was also higher. The results of aerial photo processing, as well as analysis and interpretation of aerial survey data can be further used to take measures to improve the microclimate of crops.