An Optimal Control Framework for Resources Management in Agriculture

Author:

Lobo Pereira Fernando1,Fontes Fernando Arménio1,Ferreira Maria Margarida1,Pinho Maria do Rosário1,Oliveira Vilma Alves2,Costa Eduardo2,Silva Geraldo Nunes3

Affiliation:

1. Universidade do Porto, Instituto de Sistemas e Robótica Porto, Rua Roberto Frias s/n, 4200-465 Porto, Portugal

2. Universidade de São Paulo, Avenida Trabalhador Sãocarlense 400, 13560-970 São Carlos, SP, Brazil

3. Universidade Estadual Paulista, UNESP, Departmento Matemática Aplicada, Rua Cristovão Colombo, 2265, 15054-000 São Jasé do Rio Preto, SP, Brazil

Abstract

An optimal control framework to support the management and control of resources in a wide range of problems arising in agriculture is discussed. Lessons extracted from past research on the weed control problem and a survey of a vast body of pertinent literature led to the specification of key requirements to be met by a suitable optimization framework. The proposed layered control structure—including planning, coordination, and execution layers—relies on a set of nested optimization processes of which an “infinite horizon” Model Predictive Control scheme plays a key role in planning and coordination. Some challenges and recent results on the Pontryagin Maximum Principle for infinite horizon optimal control are also discussed.

Funder

Fundação de Amparo à Pesquisa do Estado de São Paulo

Publisher

Hindawi Limited

Subject

General Medicine

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Economic Performance of Rainfed Wheat-Double Crop Systems under Weed Competition;Journal of Agricultural and Applied Economics;2024-01-19

2. Stochastic control of ecological networks;Journal of Mathematical Biology;2022-07

3. Infinite Horizon Optimal Control for Resources Management in Agriculture;CIM Series in Mathematical Sciences;2015

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3