The main goal of the DataBio project is to show the benefits of Big Data technologies in the raw material production from agriculture, forestry and fishery/aquaculture for the bioeconomy industry to produce food, energy and biomaterials responsibly and sustainably. DataBio proposes to deploy a state of the art, big data platform on top of the existing partners’ infrastructure and solutions – the Big DATABIO Platform.
We are interested to know about Big Data technologies, which you are using.
In Agriculture: we use SADI and HYDRA (both use OWL, RDF, SPARQL)
SADI - https://jbiomedsem.biomedcentral.com/articles/10.1186/2041-1480-2-8
HYDRA - http://ipsnp.com/hydra/
Valet SADI - http://dl.acm.org/citation.cfm?id=2938543
In agriculture we demonstrate use of the HYDRA platform to help farmers identify which crop varieties to plant, how to compute the profit margin for the specific crop variety and to extract from documents information about the toxicity of crop specific pesticides to non-target organisms i.e. the farmer’s bees.
https://tinyurl.c om/IPSNP-HYDRA-Videos-Agric
Thanks for all answers. we are now working on DataBio reference architecture and will be important for as to discussed interfaced for fifferent technologies. Christopher, semantic is also one from issues, which we are lookong for. we are working on Metadata standards, but also on ontologies for farm model
This powerful tool provides a range of techniques, including ad-hoc analysis, hypothesis testing and reporting, to make it easier to access and manage data, select and perform analyses and share your results
PRIMER is used for Biodiversity related studies, inclusive of modeling and a diverse application
Agricultural production and Big Data
To tackle the increasing challenges of agricultural production, the complex agricultural ecosystems need to be better understood. This can happen by means of modern digital technologies that monitor continuously the large quantities of data in an unprecedented pace. The analysis of this bigdata would enable farmers and companies to extract value from it, improving their productivity.
I asked a question about this subject and there are some answers that may help you in this specific field.
https://www.researchgate.net/post/What_can_be_some_aplications_of_big_data_analysis_to_Farmers_decision_making
First of all you must designed your plan!
What exactly do you want to do and what you want to get result.
I think your mean exactly, how to categorize large data and information and then take output in different ways, which in my opinion you should use the hyper cube method for large data analysis.
Comparison between the field and laboratory condition for the living organisms is important to study their ecology.
Usually Big Data are characterized by three V
Volume
Velocity
Variety
From my point of view Variety seems be most critical. What do you think?
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