E.Pantelej, N.Gusev, G.Voshchuk and A.Zhelonkin. Automated Field Monitoring by a Group of Light Aircraft-Type UAVs // Abraham, A., Kovalev, S., Tarassov, V., Snasel, V., Sukhanov, A. (Eds.). Proceedings of the 3rd International Scientific Conference «Intelligent Information Technologies for Industry», September 17-21, 2018, Sochi, Russia. Volume 2. – Advances in Intelligent Systems and Computing, Series Volume 875. Springer, Switzerland. – P. 350-358. ISBN 978-3-030-01821-4. DOI: 10.1007/978-3-030-01821-4.
This paper provides an overview of some existing methods of Earth remote sensing (ERS) using for agricultural needs. Special emphasis is placed on sensing with the help of UAVs. The paper describes the developed software and hardware complex for an aircraft-type UAV group. The proposed solution significantly increases the operating time and automates the process of monitoring agricultural areas. In addition, legislative restrictions on the use of UAVs are considered.
Budaev, A. Lada, E. Simonova, P. Skobelev, V. Travin, O.Yalovenko, G. Voshchuk, A. Zhilyaev. Conceptual design of smart farming solution for precise agriculture // International Journal of Design & Nature and Ecodynamics. – WIT Press, vol. 13(2018), is. 3. – pp. 307-314. DOI: 10.2495/DNE-V13-N3-307-314.
The paper presents precise agriculture as a complex adaptive system with high level of uncertainty and dynamics, in which knowledge is forming experimentally and in a very enterprise-specific way. Is there any opportunity to learn the best practices from advanced precise farmers, transfer their knowledge and support everyday decision making for regular farmers? The concept of Smart Farming as an augmented AI solution for precise agriculture is proposed. The solution is designed as a digital eco-system (system of systems) of smart services, where each service, in its turn, is an autonomous AI system. The paper also discusses functionality of smart services for precise agriculture and the service-oriented architecture of the solution with p2p interaction of services. Ontology-driven knowledge base and multi-agent technology are considered as the key technologies of the solution. The virtual “round table” for coordinated decision making of smart services is introduced. Finally, the paper presents results of the first applications, as well as the future steps and expected results.