Plant Tissue Culture Micropropagation Forecasting Application
In this project, a new version of Plantisc, a plant tissue culture micropropagation simulation software, is being developed for the Science Gateway. The team conducted experiments during the UNESCO-HP Brain Gain Initiative, leading to the need for a more efficient application. Tasks completed during the Hackfest included database preparation and uploading datasets. Future plans involve deploying a functional application on the cloud by January 2017, enhancing user data upload capabilities, implementing regression models, and preparing for the GaIA Final Event in Pretoria.
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Presentation Transcript
Development of a SGW-based Plant Tissue Culture Micropropagation Yield Forecasting Application, Plantisc2 - Final report Collins Udanor University of Nigeria Nsukka - Nigeria (collins.udanor@unn.edu.ng) WACREN e-Research Hackfest Lagos (Nigeria) This project has received funding from the European Union s Horizon 2020 research and innovation programme under grant agreement n 654237
Outline Outline Scientific problem Work done during the hackfest Results achieved so far Future plans Summary and conclusions 2
Scientific problem Scientific problem During the UNESCO-HP Brain Gain Initiative (BGI) project (2009-2013), the University of Nigeria team conducted series of plant tissue culture experiments and developed a stand-alone application, Plantisc. A Plant Tissue Culture micro propagation simulation software, which achieved over 67% predication accuracy. This application became necessary for the following reasons: 1. Time taken to perform the experiment is much 2. the experiment is cost intensive 3. and it is still in an empirical stage. A new version of this application is proposed to run on the Science gateway. 3
Work done during the Hackfest (mention the tools you actually used and Work done during the Hackfest (mention the tools you actually used and how how Prepared machine with necessary tools Created plantisc Database and populated it on local machine Uploaded application dataset and images to OAR Created Stack with the tools needed to develop my application. Created the gLibrary repo - Created 3 collections for exporting existing tables from local mysql database into the remote db 4
Results achieved so far (screenshots of Dataset uploaded to OAR Results achieved so far (screenshots of Dataset uploaded to OAR 5
Future plans (until end of the year and until the Sci Future plans (until end of the year and until the Sci- -GaIA Final Event in Pretoria on March, 23 Pretoria on March, 23- -24, 2017 24, 2017 Full functional application Deployable on the cloud - Upload user data by mid December - Implemented Regression model - by end of December - Full functional application - By mid January - Deployable on the cloud - By end of January 2017 GaIA Final Event in 6
Summary and conclusions Summary and conclusions The Hackfest was well structured It was very tasking, sharp learning curve. It exposed the direction of current researches. I observed that e-science is the direction to go. The Instructors were very competent and ever ready to tackle any challenge that the students faced. The organization was good, apart from the challenges of Internet, which was later resolved. The ability to stream real-time webinar from Catania to Lagos was fantastic The support from Catania was excellent And the documentation of the presentations in the repos, video and photo coverages were superb. Excellent workshop 7
Thank you! sci-gaia.eu info@sci-gaia.eu
