[Blueboard] Invite to MS EcE Thesis Defense

Ma. Catherine I. Dela Cruz mdelacruz at ateneo.edu
Tue Jan 16 18:01:18 +08 2018

​Dept of Electronics, Computer and Communications Engineering
invites you to the thesis defense entitled:

"Correlation of Soil Properties to the presense or absence of Fusarium
Oxysporum F. SP. Cubnese tropical race 4 (TRS) using machine learniing
methods" by Apollo Ian C. David, MS EcE candidate

Soil health is an integral part in agriculture. To have a good production,
plant pathogens and diseases should remain low in soil. However, Panama
disease, caused by Fusarium oxysporum f. sp. cubense Tropical Race 4 (TR4),
have been a threat in the production of Cavendish bananas in recent years.
TR4 produces chlamydospores in soil which germinates and infect the banana
plant and eventually kill it. These spores survive in the soil for decades
and have destroyed thousands of hectares of Cavendish banana plantations.
The widespread of Panama disease is a major concern for farmers in China,
Indonesia, Malaysia, and the Philippines as it threatens their business and

Pattern recognition can be a tool in finding a solution to the major
problems in Precision Agriculture. Precision Agriculture can benefit in the
use of pattern recognition by dynamically using technology to collect
various types of data, apply algorithms to extract patterns, and build
estimation, prediction, or classification models that provide valuable
information for better farm management.

This paper examines the predisposition of soil to the existence of Panama
disease through correlation with soil properties. Using machine learning
algorithms, soil properties are selected as input of the algorithm as these
directly relate to soil biodiversity and microbial activity which are
related to suppression of soil-borne plant pathogens. The use of pattern
recognition model will aid in determining which among the inputs is the
most influencing soil properties in conducive and suppressive soil to TR4.
Finally, a web application was developed for remote access of the results.

*Date: January 25, 2018*
*Venue: CTC 315*
*Time: 6pm onwards*

*Panelists: *
Gemalyn Abrajano, PhD
Ian Navarrete, PhD
Carlos Oppus

*Adviser: *Maria Leonora Guico

Ma. Catherine* "Irene" *dela Cruz
Dept of Electronics, Computer and Communications Engineering
3F Faura Hall, Ateneo de Manila University, Loyola Heights, QC
Trunkline (+632) 426 6001 local 5641
Telefax    (+632) 426 5436



CONFIDENTIALITY NOTICE: This email, including those in its attachments, is 
intended for the use of the person/s it is addressed to. It may contain 
personal data, or information that is confidential or privileged, which are 
protected from unauthorized use or disclosure by law. If you are not the 
intended recipient, please be aware that printing, copying, dissemination, 
distribution, disclosure, forwarding of, or acting in reliance upon the 
information contained in this communication is strictly prohibited. If you 
received this communication in error, please contact the sender immediately 
and permanently delete it, including any attachments, from your system. 
Unless otherwise indicated, the contents of this email and/or its 
attachments do not necessarily reflect the views or policies of the Ateneo 
de Manila University, its personnel, or its students.

If you have questions or clarifications regarding any matter relating to 
data protection, you may write to the University Data Protection Office at 
info.udpo at ateneo.edu. You may also file a complaint or report a security 
incident involving personal data by writing to: alert.udpo at ateneo.edu.
-------------- next part --------------
An HTML attachment was scrubbed...
URL: https://lists.ateneo.edu/pipermail/blueboard/attachments/20180116/40e158eb/attachment.html 

More information about the Blueboard mailing list