Technology for accurate positioning of agricultural machinery in precision agriculture based on the GPS satellite signal using the Internet of Things, big data and cloud solutions

Abstract

The implementation of the project allowed for the development and prototype implementation of the technology of accurate positioning of agricultural machinery in precision agriculture based on the GPS satellite signal using the Internet of Things, big data and cloud solutions. Thanks to the research and development work carried out, algorithmics were developed in such research areas as low quality antenna signal processing in the PPP-RTK CDGNSS approach with minimized TAR, position stabilization by means of expanded space in terms of Kalman’s theory, cloud processing of high-volume positional data in the processes of inference and running of agricultural machinery in precision agriculture, data transmission, error reduction procedures, area optimization and inference in precision farming processes. Earlier scientific studies allowed the use of the theory of increasing the accuracy of geostationary measurements with the use of relatively cheap GNSS antennas, where measurement errors can be reduced to several centimeters. Thanks to the use of sensory fusion and Kalmanian approaches, it was possible to construct the foundations of devices for positioning agricultural machines with high accuracy, sufficient for effective precision agriculture. In principle, the device is to be cheap, also available to farmers with small farms and thus not having large funds for investments. This approach will allow to reduce the costs of agricultural production, which, paradoxically, is the most expensive in small farms.