Open AccessSoftware for Diagnosing and Predicting the Technical Condition of Agricultural Machines
Author(s) -
E. V. Pestryakov,
AUTHOR_ID
Publication year - 2021
Publication title -
tehnika i oborudovanie dlâ sela
Language(s) - English
Resource type - Journals
ISSN - 2072-9642
DOI - 10.33267/2072-9642-2021-12-37-41
Subject(s) - computer science , software , field (mathematics) , agriculture , productivity , software engineering , data science , operating system , mathematics , ecology , macroeconomics , pure mathematics , economics , biology
The technical platforms for solving the problems of using artificial intelligence in the field of agriculture are described. Creation of new computing devices that allow storing and processing large amounts of information and software makes it possible to form integrated computer systems to increase maximum productivity.