RAiD 10.26292/8679d473 Multi-Scalar Crop Characterisation Network (MCCN)
Dates
Start Date
23-May-2023
End Date
31-Mar-2025
Titles
Title
Multi-Scalar Crop Characterisation Network (MCCN)
Title Type
Primary
Title Type: Primary Preferred full description or abstract.
Start Date
23-May-2023
End Date
31-Mar-2025
Language
English
Descriptions
Description
The Challenge
Climate change contributes to an increased frequency of extreme weather events in Australia, such as heatwaves, floods, bushfires, and droughts. As a result, the agricultural sector faces tougher and more unpredictable weather conditions.
This makes it more difficult for farmers to manage their farming practices and select the optimal crop breeds, since different breeds have varying resistance to drought and disease, with clear consequences for our food security and economy.
Various research organisations, government departments, industries and rural research and development corporations invest in trials to understand how factors such as weather, soil and pests affect crop growth and quality. However, since the data are generated from a range of sources, they often differ in their format, scale, frequency and precision.
This makes it challenging to compare the data, and to understand the true relationships between the crops and their environment. Understanding and modelling these relationships is crucial to inform agricultural management practices and maximise yield.
The Approach
We are supporting our partner, the Australian Plant Phenomics Network, to standardise access to Australia’s crop research data. The project is working with established research farms and agricultural/ecological research facilities across the nation to develop a framework, standards and recommendations for sharing agricultural data in a clear and consistent way.
Test data from these research farms and facilities will be used to establish data management protocols. The protocols will be created according to the FAIR (Findable, Accessible, Interoperable and Reusable) data principles, which will allow the data to be easily used and compared.
The project will also develop user access tools that integrate time series information about crops and their environment. This will give researchers the ability to more easily compare data on crop growth, performance, weather and other dynamic influences over time.
Using this project as a ‘proof of concept,’ this model can be expanded to the whole agricultural sector or adopted by other sectors in future.
By standardising agricultural data and developing tools that integrate information about crops and their environment, researchers will be able to work towards developing optimised breeds of crops that can withstand Australia’s changing climate. It will also enable the sector to more reliably monitor, predict, and optimise their agricultural practices to safeguard our food security.
Description Type
Primary
Description Type: Primary Preferred full description or abstract
Language
English
Contributors
Contributor
https://orcid.org/0000-0001-6492-4016
Leader
Yes
Contact
Yes
Positions
Position
Principal or Chief Investigator
Position: Principal or Chief Investigator Principal investigator refers to the person(s) in charge of a research project
Start Date
23-May-2023
End Date
---
Roles
Supervision
Contributor
https://orcid.org/0009-0004-9335-5640
Leader
No
Contact
Yes
Positions
Position
Co-investigator or Collaborator
Position: Co-investigator or Collaborator A Co-Investigator is a senior or key investigator involved in a research project who does not have the overall responsibility and authority of the Principal Investigator
Start Date
19-Dec-2024
End Date
---
Roles
Project administration
Contributor
https://orcid.org/0000-0002-3306-7581
Leader
No
Contact
Yes
Positions
Position
Co-investigator or Collaborator
Position: Co-investigator or Collaborator A Co-Investigator is a senior or key investigator involved in a research project who does not have the overall responsibility and authority of the Principal Investigator
Start Date
23-May-2023
End Date
---
Roles
Data curation
Organisations
Organisation ID
https://ror.org/02zj7b759
Roles
Role
Lead Research Organisation
Role: Lead Research Organisation The research organistion administratively responsible for the project; administering organisation
Start Date
2023-05-23
End Date
---
RelatedObjects
No Entries
Alternate Identifier
No Entries
Alternate URLs
No Entries
Related RAiDs
No Entries
Access
Type
Open Access
Type: Open Access Open access refers to a resource that is immediately and permanently online, and free for all on the Web, without financial and technical barriers.The resource is either stored in the repository or referenced to an external journal or trustworthy archive.
Language
eng
Text
Embargoed
Embargo Expiry
2025-07-17
Subjects
No Entries
Raw Data
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