Abstract
The article describes the capabilities of wireless sensor networks (WSN), the properties of remote sensing data (RS), existing approaches to creating derivative information products combined from various sources’ data. An example of a combined WSN and RS data information product use shown for solving the problems of precision agriculture in terms of increasing the yield by changing crops’ territorial distribution on the basis of data on the soil moisture. #COMESYSO1120.
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Ginzburg, I., Padalko, S., Terentiev, M. (2020). Combining Earth Remote Sensing and Land Wireless Sensor Networks Data in Smart Agriculture Information Products. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds) Software Engineering Perspectives in Intelligent Systems. CoMeSySo 2020. Advances in Intelligent Systems and Computing, vol 1294. Springer, Cham. https://doi.org/10.1007/978-3-030-63322-6_88
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DOI: https://doi.org/10.1007/978-3-030-63322-6_88
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