{"title":"O-AMIE:结合系统工程和生命周期评估的工具,用于生态设计农业实践并评估其环境影响","authors":"","doi":"10.1016/j.compag.2024.109558","DOIUrl":null,"url":null,"abstract":"<div><div>Agricultural practices are responsible for several environmental impacts; thus, sustainable practices need to be promoted. Environmental impacts of agricultural practices can be estimated using life cycle assessment (LCA). However, since agricultural systems are complex due to their strong interactions with the environment, specific methods need to be used to assess them. To meet this objective, this study combined systems engineering and life cycle assessment, supported by development of the tool O-AMIE (<em>Outil d’Analyse et de Management des Impacts Environnementaux</em> in French; Environmental impact analysis and management tool, in English), using Matlab®, Simulink® and the platform PhiSim (Sherpa Engineering). This tool was developed to help users design and validate operating systems used in agriculture (e.g., tractors, robots), calculate environmental impacts of process systems that use these operating systems (e.g., a complete set of crop management, field operations and cropping techniques) and provide a framework for standardizing agricultural LCAs. Here, we specifically focused on the conceptual framework and model of O-AMIE as well as the model-based design used to build high-level field-operation models.</div></div>","PeriodicalId":50627,"journal":{"name":"Computers and Electronics in Agriculture","volume":null,"pages":null},"PeriodicalIF":7.7000,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"O-AMIE: A tool combining systems engineering and life cycle assessment to eco-design agricultural practices and assess their environmental impacts\",\"authors\":\"\",\"doi\":\"10.1016/j.compag.2024.109558\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Agricultural practices are responsible for several environmental impacts; thus, sustainable practices need to be promoted. Environmental impacts of agricultural practices can be estimated using life cycle assessment (LCA). However, since agricultural systems are complex due to their strong interactions with the environment, specific methods need to be used to assess them. To meet this objective, this study combined systems engineering and life cycle assessment, supported by development of the tool O-AMIE (<em>Outil d’Analyse et de Management des Impacts Environnementaux</em> in French; Environmental impact analysis and management tool, in English), using Matlab®, Simulink® and the platform PhiSim (Sherpa Engineering). This tool was developed to help users design and validate operating systems used in agriculture (e.g., tractors, robots), calculate environmental impacts of process systems that use these operating systems (e.g., a complete set of crop management, field operations and cropping techniques) and provide a framework for standardizing agricultural LCAs. Here, we specifically focused on the conceptual framework and model of O-AMIE as well as the model-based design used to build high-level field-operation models.</div></div>\",\"PeriodicalId\":50627,\"journal\":{\"name\":\"Computers and Electronics in Agriculture\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":7.7000,\"publicationDate\":\"2024-10-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers and Electronics in Agriculture\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0168169924009499\",\"RegionNum\":1,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AGRICULTURE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers and Electronics in Agriculture","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0168169924009499","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
摘要
农业生产方式会对环境造成多种影响,因此需要推广可持续的生产方式。农业实践对环境的影响可以通过生命周期评估(LCA)来估算。然而,由于农业系统与环境之间的相互作用十分激烈,因而十分复杂,因此需要使用特定的方法对其进行评估。为了实现这一目标,本研究将系统工程和生命周期评估结合起来,使用 Matlab®、Simulink® 和 PhiSim(Sherpa Engineering)平台开发了工具 O-AMIE(法文为 Outil d'Analyse et de Management des Impacts Environnementaux;英文为 Environmental Impact Analysis and Management Tool)。开发该工具的目的是帮助用户设计和验证农业中使用的操作系统(如拖拉机、机器人),计算使用这些操作系统的过程系统(如一整套作物管理、田间作业和种植技术)对环境的影响,并为农业生命周期评估的标准化提供一个框架。在此,我们特别关注 O-AMIE 的概念框架和模型,以及用于建立高层次田间操作模型的基于模型的设计。
O-AMIE: A tool combining systems engineering and life cycle assessment to eco-design agricultural practices and assess their environmental impacts
Agricultural practices are responsible for several environmental impacts; thus, sustainable practices need to be promoted. Environmental impacts of agricultural practices can be estimated using life cycle assessment (LCA). However, since agricultural systems are complex due to their strong interactions with the environment, specific methods need to be used to assess them. To meet this objective, this study combined systems engineering and life cycle assessment, supported by development of the tool O-AMIE (Outil d’Analyse et de Management des Impacts Environnementaux in French; Environmental impact analysis and management tool, in English), using Matlab®, Simulink® and the platform PhiSim (Sherpa Engineering). This tool was developed to help users design and validate operating systems used in agriculture (e.g., tractors, robots), calculate environmental impacts of process systems that use these operating systems (e.g., a complete set of crop management, field operations and cropping techniques) and provide a framework for standardizing agricultural LCAs. Here, we specifically focused on the conceptual framework and model of O-AMIE as well as the model-based design used to build high-level field-operation models.
期刊介绍:
Computers and Electronics in Agriculture provides international coverage of advancements in computer hardware, software, electronic instrumentation, and control systems applied to agricultural challenges. Encompassing agronomy, horticulture, forestry, aquaculture, and animal farming, the journal publishes original papers, reviews, and applications notes. It explores the use of computers and electronics in plant or animal agricultural production, covering topics like agricultural soils, water, pests, controlled environments, and waste. The scope extends to on-farm post-harvest operations and relevant technologies, including artificial intelligence, sensors, machine vision, robotics, networking, and simulation modeling. Its companion journal, Smart Agricultural Technology, continues the focus on smart applications in production agriculture.