Agricultural System Modelling with Ant Colony Optimization

被引：0
|
作者：
Fidanova, Stefka [1 ]
Dimov, Ivan [1 ]
Angelova, Denitsa [2 ]
Ganzha, Maria [3 ,4 ]
机构：
[1] Bulgarian Acad Sci, Inst Informat & Commun Technol, Sofia, Bulgaria
[2] Ca Foscari Univ Venice, Euromediterranean Ctr Climate Change, Venice, Italy
[3] Polish Acad Sci, Syst Res Inst, Warsaw, Poland
[4] Management Acad, Warsaw, Poland
来源：
PROCEEDINGS OF THE 2022 17TH CONFERENCE ON COMPUTER SCIENCE AND INTELLIGENCE SYSTEMS (FEDCSIS) | 2022年
关键词：
Agricultural System Modeling; Bio-economic farm model; Ant Colony Optimization; Metaheuristics;
D O I：
10.15439/2022F10
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Cereals contribute significantly to humanity's livelihood. They are a source of more food energy worldwide than any other group of crops. Their production contributes considerably to the total global anthropogenic greenhouse gas (GHGs) emissions. In this study we propose a basic bio-economic farm model (BEFM) solved with the help of Ant Colony Optimization (ACO) methodology. We aim to assess farm profits and risks considering various types of policy incentives and adverse weather events. The proposed model can be applied to any annual crop.
引用
收藏
页码：329 / 332
页数：4
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