Leah Tute - Researcher Profile
Department
Research Directorate
Science Research Analyst I
Contact
Email Address: leahtute@yahoo.com
Biography
Ms. Leah M. Tute is actively working as Information Technology (IT) personnel of the University Research Directorate. She is a graduate of Bachelor of Science in Computer Engineering at the Mapua Institute of Technology.
At present, she leads the computer-based R&D Management Information Systems development project of the university. She was also involved as technical staff in other research and development projects such as the Integrated Resource Management and Land Use Analysis (IRMLA) funded by the European Commission; Agriculture and Fisheries Research and Development Information System (AFRDIS) funded by the Department of Agriculture-Bureau of Agricultural Research; and Harnessing GIS and Remote Sensing Technologies for Improved Governance and Agricultural Productivity (RS-GIS) funded by the Commission on Higher Education (CHED). She also serves as a co-worker in the Development of an Indigenous Food Plants Databank System (IFPDS) funded by the university.
Research Involvement
Research Publication
- Nathaniel R. Alibuyog, Leah M. Tute, Rodel C. Cabugon. 2017. Predicting Rice Yield from Multi-temporal Satellite Data Using Artificial Neural Network. MMSU Science and Technology Journal . Volume 7; Issue Num. 1; January 2017; ISSN2012 0060
Citations
| Author | Title of the Paper | Publication | Citing Article | Citing Author | Citing Publication | Year |
|---|---|---|---|---|---|---|
| Nathaniel R. Alibuyog, Leah M. Tute, Rodel C. Cabugon | Predicting Rice Yield from Multi-temporal Satellite Data Using Artificial Neural Network | T. Journal | Artificial Neural Network to Estimate the Paddy Yield Prediction using Remote Sensing, Weather and Non Weather Variable in Ampara District, Sri Lanka | W. M. R. K Wanninayaka, R. M. K. T Rathnayaka, E. P. N Udayakumara | IEEE Xplore - Conference | 2020 |
