Application of a genetic algorithm for solving problems of optimization of placement and rotation of crops in cotton crops

D. T. Muhamediyeva; M. R. Raxmonova

doi:10.1117/12.2669429

5 January 2023 Application of a genetic algorithm for solving problems of optimization of placement and rotation of crops in cotton crops

D. T. Muhamediyeva, M. R. Raxmonova

Author Affiliations +

Proceedings Volume 12564, 2nd International Conference on Computer Applications for Management and Sustainable Development of Production and Industry (CMSD-II-2022); 125640K (2023) https://doi.org/10.1117/12.2669429
Event: Computer Applications for Management and Sustainable Development of Production and Industry (CMSD2022), 2022, Dushanbe, Tajikistan

Abstract

Currently, the rational distribution of cotton and fodder crops with their combination in crop rotation fields is relevant. This task is solved in two stages. The first is the placement of cotton and other crops in the fields of crop rotation. The implementation allows determining in which field a particular crop should been sown. Such a task considers as a static one and its model develops taking into account the main natural and economic conditions of the economy. The second task considers as dynamic. It allows to determine in which years of rotation in which field a particular crop should been sown. The development model of the task bases on information obtained from the static task and from the crop rotation table in the crop rotation. The main purpose of the article is to solve the problems of optimizing the placement and rotation of crops in the cotton crop rotation. The genetic algorithm is used to solve this problem. The computational experiment was implemented

Citation Download Citation

D. T. Muhamediyeva and M. R. Raxmonova "Application of a genetic algorithm for solving problems of optimization of placement and rotation of crops in cotton crops", Proc. SPIE 12564, 2nd International Conference on Computer Applications for Management and Sustainable Development of Production and Industry (CMSD-II-2022), 125640K (5 January 2023); https://doi.org/10.1117/12.2669429

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available