GULLY MODELING FOR FOREST RECLAMATION PURPOSES
- Land Reclamation, Recultivation, and Land Protection
The aim of this paper is to develop a scientific approach to the creation of application programs for the selection of optimal composition of instruments to equip the agro-meteorological complexes used in precision farming systems in sprinkler irrigation. The procedure for calculating the optimal composition of programmable instrumentation to perform the basic functions of agrimeteorological complex taking into account technological and economic criteria and restrictions has been determined. In the process of research an algorithm for solving the optimization problem in accordance with Bellman’s optimality principle using conditional extremum of the objective function has been developed. The algorithm includes four configuration steps: entering data on the composition of the instrumentation and the functions they perform, structuring, design of quality functions and constraints, the choice of perspective instruments components. In accordance with the developed algorithm an example of modeling the optimal number of instruments for agrometeostation equipment, comprising the steps of matrix computation of relationships of its functions with the options of set of devices is given. The number of devices (sets) for design is 5, units with a set of functions of the whole complex is 7, which include: determining the temperature, humidity and air pressure; wind direction and speed; volatility; precipitation; intensity of solar radiation; temperature and soil moisture; groundwater level. As a result of research a mathematical instrumentation allowing to optimize the configuration of various technological equipment in real time at the contemporary level to introduce innovative technologies on the basis of multivariate analysis that can be used to create a standardized software in this direction, such as to equip agrometeocomplexes used in precision irrigation systems.
Keywords: agrometeocomplex, instrumentation, precision agriculture, irrigation, sprinkler irrigation, mathematical modeling.