植物生长模型与病虫害模型的耦合:交互结构建议》,MIMIC.

IF 7.6 1区 农林科学 Q1 AGRONOMY Plant Phenomics Pub Date : 2023-08-04 eCollection Date: 2023-01-01 DOI:10.34133/plantphenomics.0077
Houssem E M Triki, Fabienne Ribeyre, Fabrice Pinard, Marc Jaeger
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引用次数: 0

摘要

将植物生长模型与病虫害(P&D)模型耦合,并考虑相互作用后产生的长期反馈,如今仍是一项具有挑战性的任务。虽然许多研究都对各种方法进行了探讨,但没有一项研究能提供一个通用框架,在不对现有模型及其代码进行深度更新的情况下托管这些模型。为此,我们开发了 MIMIC(模型内部耦合中介接口),这是一个开放式框架/工具。MIMIC 允许以多种方式耦合植物生长和植物生长与发育模型。用户可以尝试各种交互配置,从以模型间直接交换输入和输出为中介的弱耦合,到在模型数据或运行周期不一致时利用第三方工具的高级耦合。用户决定如何进行交互操作,平台提供强大的工具,利用元编程技术设计交互的关键功能。本文以咖啡浆果蛀虫对阿拉伯咖啡果实的攻击为实例,对所提出的框架进行了演示。在苏门答腊岛(印度尼西亚)进行的实地观察对耦合交互模型进行了评估。最后,我们强调了 MIMIC 以用户为中心的实施特点,它是一种实用、便捷的工具,只需最低限度的编码知识即可使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Coupling Plant Growth Models and Pest and Disease Models: An Interaction Structure Proposal, MIMIC.

Coupling plant growth model with pests and diseases (P&D) models, with consideration for the long-term feedback that occurs after the interaction, is still a challenging task nowadays. While a number of studies have examined various methodologies, none of them provides a generic frame able to host existing models and their codes without updating deeply their architecture. We developed MIMIC (Mediation Interface for Model Inner Coupling), an open-access framework/tool for this objective. MIMIC allows to couple plant growth and P&D models in a variety of ways. Users can experiment with various interaction configurations, ranging from a weak coupling that is mediated by the direct exchange of inputs and outputs between models to an advanced coupling that utilizes a third-party tool if the models' data or operating cycles do not align. The users decide how the interactions operate, and the platform offers powerful tools to design key features of the interactions, mobilizing metaprogramming techniques. The proposed framework is demonstrated, implementing coffee berry borers' attacks on Coffea arabica fruits. Observations conducted in a field in Sumatra (Indonesia) assess the coupled interaction model. Finally, we highlight the user-centric implementation characteristics of MIMIC, as a practical and convenient tool that requires minimal coding knowledge to use.

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来源期刊
Plant Phenomics
Plant Phenomics Multiple-
CiteScore
8.60
自引率
9.20%
发文量
26
审稿时长
14 weeks
期刊介绍: Plant Phenomics is an Open Access journal published in affiliation with the State Key Laboratory of Crop Genetics & Germplasm Enhancement, Nanjing Agricultural University (NAU) and published by the American Association for the Advancement of Science (AAAS). Like all partners participating in the Science Partner Journal program, Plant Phenomics is editorially independent from the Science family of journals. The mission of Plant Phenomics is to publish novel research that will advance all aspects of plant phenotyping from the cell to the plant population levels using innovative combinations of sensor systems and data analytics. Plant Phenomics aims also to connect phenomics to other science domains, such as genomics, genetics, physiology, molecular biology, bioinformatics, statistics, mathematics, and computer sciences. Plant Phenomics should thus contribute to advance plant sciences and agriculture/forestry/horticulture by addressing key scientific challenges in the area of plant phenomics. The scope of the journal covers the latest technologies in plant phenotyping for data acquisition, data management, data interpretation, modeling, and their practical applications for crop cultivation, plant breeding, forestry, horticulture, ecology, and other plant-related domains.
期刊最新文献
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