e-infrastructure Roadmap for Open Science in Agriculture

A bibliometric study

The e-ROSA project seeks to build a shared vision of a future sustainable e-infrastructure for research and education in agriculture in order to promote Open Science in this field and as such contribute to addressing related societal challenges. In order to achieve this goal, e-ROSA’s first objective is to bring together the relevant scientific communities and stakeholders and engage them in the process of coelaboration of an ambitious, practical roadmap that provides the basis for the design and implementation of such an e-infrastructure in the years to come.

This website highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. If you have any comment or feedback on the bibliometric study, please use the online form.

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Title

CANON in D(esign): Composing scales of plant canopies from phytomers to whole-plants using the composite design pattern

en
Abstract

Understanding plant development and architecture has been aided by the phytomer concept The phytomer, usually considered a vegetative unit of a leaf, node. Inter node, axillary bud, and occasionally nodal oats. has been extended to the inflorescence with units repeated within and among shoots For many reasons including insufficient knowledge of phytomer dynamics or specific modelling objectives, city models may not fully incorporate phytomer concepts For instance, commonly, some phytomers are aggregated into a single component such as an inflorescence component Continuing development and maturing of object-oriented(OO) design provides opportunities for better representing phytomer concepts in crop models and integrating approaches using varying scales of resolution Use of the structural Composite Design Pattern (CDP) in an OO plant design facilitates combining scales with a mixture of single and aggregated phytomers for different components This paper uses winter wheat (Triticum aestivum L) to (1) illustrate building the entire plant canopy by the appearance. growth, and death of phytomer units, (2) translate this botanical abstraction into an OO design using the COP, (3) use the CDP to facilitate a mixture of scales, and (4) present results of a proof-of-concept prototype, CANON. named because the interplay of repeating phytomers is analogous to the repeating melodies of a canon musical composition CANON implements the phytomer concept of an entire canopy (both vegetative and reproductive phytomers) into an OO design using the CDP This pattern facilitated the combination of simulation scales from individual reproductive phytomers to an aggregated inflorescence Quantification of phytomer concepts for winter wheat was primarily derived from the SHOOTGRO model, with the addition of a simple aggregated inflorescence sub-model derived from the APSIM model The CANON prototype was able to simulate the appearance, growth, and senescence of phytomers on individual shoots of the plant comprising the plant canopy. Importantly, CANON was able to incorporate legacy code with a lower scale of resolution than the phytomer CANON demonstrates an OO design to simulate plant canopy development and growth ham the sub-phytomer to whole-plant level, allowing flexibility in meeting different model objectives and available knowledge of processes (C) 2009 Royal Netherlands Society for Agricultural Sciences. Published by Elsevier B V All rights reserved

en
Year
2009
en
Country
  • US
  • AU
Organization
  • USDA_ARS_Agr_Res_Serv (US)
  • CSIRO (AU)
Data keywords
  • knowledge
en
Agriculture keywords
  • agriculture
en
Data topic
  • information systems
  • modeling
en
SO
NJAS-WAGENINGEN JOURNAL OF LIFE SCIENCES
Document type

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Institutions 10 co-publis
  • USDA_ARS_Agr_Res_Serv (US)
  • CSIRO (AU)
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e-ROSA - e-infrastructure Roadmap for Open Science in Agriculture has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 730988.
Disclaimer: The sole responsibility of the material published in this website lies with the authors. The European Union is not responsible for any use that may be made of the information contained therein.