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 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

Patents