Open AccessOptimization of the control algorithm for heterogeneous robotic agricultural monitoring tools
Author(s) -
Aleksey Zhukov,
A K Kulikov,
Igor Kartsan
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/839/3/032039
Subject(s) - task (project management) , computer science , control (management) , set (abstract data type) , common value auction , robot , decision support system , operations research , control engineering , artificial intelligence , industrial engineering , real time computing , engineering , systems engineering , mathematics , statistics , programming language
Nowadays, in the agricultural industry, area monitoring is carried out using drones that are not linked to other devices such as ground-based automatic harvesters or drip irrigation systems. This results in a lot of time-consuming decision-making for harvesting ripe different crops or for pesticide treatment of areas of crops that need it immediately. This problem can be solved by using a monitoring system with heterogeneous robotic means, which allows the distribution of tasks between aerial robotic means. The purpose of this work is to optimize the algorithm of the control system for a group of robotic assets using a multigeneric decision-making approach. Many methods of operator decision support, control algorithms for solving the task of agricultural monitoring, used by scientific teams in the development of heterogeneous robotic means do not solve the problem in full. The approach is based on model optimization, namely the theory of auctions within the developed system, allowing to find a robotic system providing the maximum probability of fulfillment of the set task.