Expert Systems of Strategic Management in Precision Agriculture

Abstract

Evaluating the modern market of the Internet of things, one should consider equipment connected into a single network, solutions, applications along the entire chain of product creation, including the end user. In this paper, such a binding is based on cloud information technologies. Through these technologies, the intellectualization of agrotechnology management is implemented through the creation of expert management decision support systems (DSS). The aim of the work is to consider the methodology for constructing DSS of strategic management in precision farming systems, where this type of management has not been implemented to date. To this kind of management, we include the task of forming strategies for the application of mineral fertilizers and ameliorants of prolonged action for all the years of various types of crop rotations. To solve the problem, an algorithm for the formation of optimal strategies for the application of mineral fertilizers and ameliorants, which is implemented in an analytical automated control system of agricultural technologies (ASUAT), through which a knowledge base (BR) is transmitted from the cloud system to local DSS, is substantiated. To select the best option from the knowledge base, the pattern recognition method is used. The technique was tested on arbitrary initial conditions of local systems, including extreme combinations of initial conditions. Based on the analysis of the loss of optimality associated with the discrepancy of the initial conditions on the local DSS and the KB, a method for controlling the formation of the BR, aimed at reducing these losses, is substantiated.

Digital Technologies, Internet of Things and Cloud Computations Used in Agriculture: Surveys and Literature in Russian

“…The works [107,114,115] propose a method for building expert decision support systems (DSS) in precision farming. The methodology provides for the use of local DSS and a cloud-based knowledge base (KB).…”

“…This KB is transferred to the local DSS. The proposed method has been tested for solving the following problems: the formation of strategies for applying mineral fertilizers and long-acting ameliorants in crop rotations of various types [114], managing the state of spring wheat by forming a sequence of technological operations in one growing season [107], choosing the optimal date for harvesting fodder from perennial grasses [115]. When solving the first problem, an algorithm was developed in [114] that minimize the risk of crop losses and overspending of mineral fertilizers and ameliorants.…”

“…The proposed method has been tested for solving the following problems: the formation of strategies for applying mineral fertilizers and long-acting ameliorants in crop rotations of various types [114], managing the state of spring wheat by forming a sequence of technological operations in one growing season [107], choosing the optimal date for harvesting fodder from perennial grasses [115]. When solving the first problem, an algorithm was developed in [114] that minimize the risk of crop losses and overspending of mineral fertilizers and ameliorants. For different variants of the initial values of the parameters of the chemical state of the soil and different climatic conditions for each type of crop rotation, the optimal strategies for applying mineral fertilizers and ameliorants are determined.…”