scholarly journals Uncertainty in and around biophysical modelling: insights from interdisciplinary research on agricultural digitalization

2020 ◽  
Vol 7 (12) ◽  
pp. 201511
Author(s):  
M. Espig ◽  
S. C. Finlay-Smits ◽  
E. D. Meenken ◽  
D. M. Wheeler ◽  
M. Sharifi
Keyword(s):  
Interdisciplinary Research ◽  
Royal Society ◽  
Agricultural Research ◽  
Journal Article ◽  
Simulation Models ◽  
Open Science ◽  
Digital Data ◽  
Environmental Research ◽  
Full Potential ◽  
Biophysical Modelling

Agricultural digitalization is providing growing amounts of real-time digital data. Biophysical simulation models can help interpret these data. However, these models are subject to complex uncertainties, which has prompted calls for interdisciplinary research to better understand and communicate modelling uncertainties and their impact on decision-making. This article develops two corresponding insights from an interdisciplinary project in a New Zealand agricultural research organization. First, we expand on a recent Royal Society Open Science journal article (van der Bles et al . 2019 Royal Society Open Science 6 , 181870 ( doi:10.1098/rsos.181870 )) and suggest a threefold conceptual framework to describe direct, indirect and contextual uncertainties associated with biophysical models. Second, we reflect on the process of developing this framework to highlight challenges to successful collaboration and the importance of a deeper engagement with interdisciplinarity. This includes resolving often unequal disciplinary standings and the need for early collaborative problem framing. We propose that both insights are complementary and informative to researchers and practitioners in the field of modelling uncertainty as well as to those interested in interdisciplinary environmental research generally. The article concludes by outlining limitations of interdisciplinary research and a shift towards transdisciplinarity that also includes non-scientists. Such a shift is crucial to holistically address uncertainties associated with biophysical modelling and to realize the full potential of agricultural digitalization.

scholarly journals Proceedings of the Thirty-second Meeting of the Agricultural Research Modellers' Group

2000 ◽  
Vol 135 (3) ◽  
pp. 321-329
Author(s):  
J. FRANCE ◽  
L. A. CROMPTON
Keyword(s):  
Royal Society ◽  
Agricultural Research ◽  
Agricultural Science ◽  
Environmental Research

This group, which is concerned with the applications of mathematics to agricultural science, was formed in 1970 and has since met at approximately yearly intervals in London for one-day meetings. The thirty-second meeting of the group, chaired by Professor D. Scholefield of the Institute of Grassland and Environmental Research, North Wyke, was held in the Kohn Centre at the Royal Society, 6 Carlton House Terrace, London on Friday, 14 April 2000 when the following papers were read.

Proceedings of the Twenty-Sixth Meeting of the Agricultural Research Modellers' Group

1995 ◽  
Vol 125 (1) ◽  
pp. 159-163
Author(s):  
J. France
Keyword(s):  
Biological Sciences ◽  
Royal Society ◽  
Research Council ◽  
Agricultural Research ◽  
Agricultural Science ◽  
Environmental Research ◽  
Meeting Room

This group, which is concerned with the applications of mathematics to agricultural science, is sponsored by the Biotechnology and Biological Sciences Research Council. It was formed in 1970, and has since met at approximately yearly intervals in London for one-day meetings. The twenty-sixth meeting of the group, chaired by Professor R. J. Wilkins of the Institute of Grassland and Environmental Research, North Wyke, was held in the Wellcome Meeting Room at the Royal Society, 6 Carlton House Terrace, London on Friday, 7 April 1995, when the following papers were read.

XIV.—Rowett Research Institute

1951 ◽  
Vol 64 (3) ◽  
pp. 257-276
Author(s):  
D. P. Cuthbertson
Keyword(s):  
Royal Society ◽  
Research Council ◽  
Medical Research Council ◽  
Agricultural Research ◽  
Research Work ◽  
Animal Nutrition ◽  
College Of Agriculture ◽  
The North ◽  
Agricultural Research Council ◽  
The University

The Rowett Institute for research on animal nutrition had its origin under a scheme for promoting scientific research in agriculture adopted by the Development Commission in 1911.The Governing Body, which originally consisted of an equal number of members appointed by the Court of the University of Aberdeen and the Governors of the North of Scotland College of Agriculture, was constituted in 1913. Within recent years it has been expanded to include persons nominated by the Secretary of State for Scotland, the Royal Society, the Royal Society of Edinburgh, the Agricultural Research Council, and the Medical Research Council. Research work was begun in temporary accommodation in Marischal College in 1914, under the direction of Dr John Boyd Orr—now Lord Boyd-Orr—who continued as Director until his retirement in 1945.

Evaluation of the Dry Bean Model BEANGRO V1.01 for Crop Production Research in a Tropical Environment

1995 ◽  
Vol 31 (2) ◽  
pp. 241-254 ◽  
Author(s):  
J. W. White ◽  
G. Hoogenboom ◽  
J. W. Jones ◽  
K. J. Boote
Keyword(s):  
Seed Yield ◽  
Crop Production ◽  
Agricultural Research ◽  
Simulation Models ◽  
Cultivar Differences ◽  
Oriented Growth ◽  
Dry Bean ◽  
Qualitative Response ◽  
Tropical Environments ◽  
Production Research

SUMMARYMicrocomputer-based simulation models are increasingly being recommended as multipurpose tools for agricultural research. Use of a model should be conditioned by an evaluation of its performance and understanding of its limitations. This paper evaluates the responses of the process-oriented growth model for dry bean (Phaseolus vulgaris), BEANGRO V1.01, with an emphasis on the factors related to cultivar differences for production in tropical environments. Simulations of seed yield from beans grown under conditions of a known water deficit showed good agreement with observed data. The qualitative response to plant population resembled that of a field trial, and the model showed the expected linear relation between days to maturity and seed yield. Overall, the results suggest that BEANGRO has utility for certain types of agronomic studies, but that improvements are possible, particularly with respect to prediction of phenology.

scholarly journals Proceedings of the Thirty-first Meeting of the Agricultural Research Modellers' Group

1999 ◽  
Vol 133 (3) ◽  
pp. 341-350 ◽  
Author(s):  
J. FRANCE ◽  
L. A. CROMPTON
Keyword(s):  
Royal Society ◽  
Agricultural Research ◽  
Agricultural Science

This group, which is concerned with the applications of mathematics to agricultural science, was formed in 1970 and has since met at approximately yearly intervals in London for one-day meetings. The thirty-first meeting of the group, chaired by Professor M. Gill of NR International, Chatham, was held in the Kohn Centre at the Royal Society, 6 Carlton House Terrace, London on Friday, 16 April 1999 when the following papers were read.

scholarly journals Proceedings of the Twenty-Eighth Meeting of the Agricultural Research Modellers' Group

1996 ◽  
Vol 127 (1) ◽  
pp. 131-136
Author(s):  
J. France
Keyword(s):  
Biological Sciences ◽  
Royal Society ◽  
Research Council ◽  
Environmental Science ◽  
Agricultural Research ◽  
Agricultural Science ◽  
Meeting Room

This group, which is concerned with the applications of mathematics to agricultural science, is sponsored by the Biotechnology and Biological Sciences Research Council. It was formed in 1970, and has since met at approximately yearly intervals in London for one-day meetings. The twenty-eighth meeting of the group, chaired by Dr. D. A. Rose of the Department of Agricultural & Environmental Science, University of Newcastle, was held in the Wellcome Meeting Room at the Royal Society, 6 Carlton House Terrace, London on Friday, 29 March 1996, when the following papers were read.

The Magnetics Information Consortium (MagIC) Data Repository: Successes and Continuing Challenges

2020 ◽  
Author(s):  
Nicholas Jarboe ◽  
Rupert Minnett ◽  
Catherine Constable ◽  
Anthony Koppers ◽  
Lisa Tauxe
Keyword(s):  
Earth Science ◽  
Journal Article ◽  
Research Capacity ◽  
Digital Data ◽  
Data Repository ◽  
Data Set ◽  
Data Repositories ◽  
The Earth ◽  
Ocean Sciences ◽  
Space Sciences

<p>MagIC (earthref.org/MagIC) is an organization dedicated to improving research capacity in the Earth and Ocean sciences by maintaining an open community digital data archive for rock and paleomagnetic data with portals that allow users access to archive, search, visualize, download, and combine these versioned datasets. We are a signatory of the Coalition for Publishing Data in the Earth and Space Sciences (COPDESS)'s Enabling FAIR Data Commitment Statement and an approved repository for the Nature set of journals. We have been in collaboration with EarthCube's GeoCodes data search portal, adding schema.org/JSON-LD headers to our data set landing pages and suggesting extensions to schema.org when needed. Collaboration with the European Plate Observing System (EPOS)'s Thematic Core Service Multi-scale laboratories (TCS MSL) is ongoing with MagIC sending its contributions' metadata to TCS MSL via DataCite records.</p><p>Improving and updating our data repository to meet the demands of the quickly changing landscape of data archival, retrieval, and interoperability is a challenging proposition. Most journals now require data to be archived in a "FAIR" repository, but the exact specifications of FAIR are still solidifying. Some journals vet and have their own list of accepted repositories while others rely on other organizations to investigate and certify repositories. As part of the COPDESS group at Earth Science Information Partners (ESIP), we have been and will continue to be part of the discussion on the needed and desired features for acceptable data repositories.</p><p>We are actively developing our software and systems to meet the needs of our scientific community. Some current issues we are confronting are: developing workflows with journals on how to publish the journal article and data in MagIC simultaneously, sustainability of data repository funding especially in light of the greater demands on them due to data policy changes at journals, and how to best share and expose metadata about our data holdings to organizations such as EPOS, EarthCube, and Google.</p>

Proceedings of the Twenty-Fifth Meeting of the Agricultural Research Modellers' Group

1994 ◽  
Vol 123 (1) ◽  
pp. 149-154
Author(s):  
J. France
Keyword(s):  
Biological Sciences ◽  
Royal Society ◽  
Research Council ◽  
Agricultural Research ◽  
Agricultural Science ◽  
Arable Crops ◽  
Experimental Station ◽  
Meeting Room ◽  
Rothamsted Experimental Station

This group, which is concerned with the applications of mathematics to agricultural science, is sponsored by the Biotechnology and Biological Sciences Research Council. It was formed in 1970, and has since met at approximately yearly intervals in London for one-day meetings. The twenty-fifth meeting of the group, chaired by Dr T. M. Addiscott of the Institute of Arable Crops Research, Rothamsted Experimental Station, was held in the Wellcome Meeting Room at the Royal Society, 6 Carlton House Terrace, London on Friday, 15 April 1994, when the following papers were read.

Knowledge-rich catalog services for engineering design

2003 ◽  
Vol 17 (4) ◽  
pp. 349-366 ◽  
Author(s):  
JIHIE KIM ◽  
PETER WILL ◽  
S. RINGO LING ◽  
BOB NECHES
Keyword(s):  
Domain Knowledge ◽  
Simulation Models ◽  
Information Resources ◽  
Information Environment ◽  
Full Potential ◽  
Computational Power ◽  
Multimodal Information ◽  
Search Quality ◽  
Intended Use ◽  
Catalog System

The exponential growth of the Internet and increasing communication and computational power have created many opportunities for advancing engineering, manufacturing, and business activities. Among them are electronic catalogs. These have become basic information resources to a number of people, ranging from shoppers looking for personal items to engineers selecting electromechanical parts to build a product. Although rich in content, current catalog systems are limited both in search quality and in realizing the full potential of the retrieved information. The active catalog system brings a conceptually new idea to electronic commerce by providing a new, computationally usable, catalog information environment about components and their use in applications. It utilizes a rich body of domain knowledge to facilitate access and retrieval of component information. The utility of retrieved information is enhanced by using it to rapidly construct simulation programs and test alternatives, supporting a “try before you buy” paradigm in which users evaluate candidate components within simulations of their design. We describe services provided in the active catalog system to support engineers in selecting and evaluating electromechanical components and subsystems. The services include mechanisms for creating queries for parts based on their intended use rather than merely parametric specifications, refining those queries to take account of constraints imposed by domain knowledge, providing multimodal information to help engineers assess and compare candidate parts, and generating simulation models for candidate parts and integrating them to provide simulation models for candidate systems.

Using Crop Models for Sustainability and Environmental Quality Assessment

1992 ◽  
Vol 21 (3) ◽  
pp. 209-218 ◽  
Author(s):  
Upendra Singh ◽  
Philip K. Thornton
Keyword(s):  
Environmental Impact ◽  
Agricultural Research ◽  
Model Development ◽  
Simulation Models ◽  
Crop Models ◽  
Environmental Quality Assessment ◽  
Environmental Impact Assessments ◽  
Crop Simulation ◽  
Crop Simulation Models ◽  
Interactive Nature

In this article, the question of how various aspects of sustainability can be studied is outlined, with particular reference to ways in which the efficiency of the agricultural research and development process can be enhanced. The role of crop simulation models as useful tools in sustainability research and in the assessment of environmental impact is discussed with reference to some of the collaborative model development and application activities of the International Fertilizer Development Center (IFDC). Despite the fact that much development work is needed on crop simulation models, there are few practical alternatives to address the complex and interactive nature of sustainability issues and environmental impact assessments.

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