Title

Luntian: An automated, high-throughput phenotyping system for the greeness and biomass of C4 rice

Date of Publication

2015

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Computer Science

College

College of Computer Studies

Department/Unit

Computer Science

Thesis Adviser

Briane Paul V. Samson

Defense Panel Chair

Ethel Chua Joy Ong

Defense Panel Member

Florante R. Salvador
Joel P. Ilao

Abstract/Summary

Plant phenotyping is a vital process that helps farmers and researchers assess the growth, health, and development of a plant. In the Philippines, phenotyping is done manually, with each plant specimen measured and assessed one by one. However, this process is laborious, time-consuming, and prone to human error. Automated phenotyping systems have attempted to address this problem through the use of cameras and image processing, but these systems are proprietary and designed for plants and crops which are not commonly found in the Philippines. In order to alleviate this problem, research was conducted to develop a high through put rice phenotyping system that automates the identification of plant greenness and plant biomass of C4 Rice. The system was developed in order to provide an efficient way of phenotyping C4 rice by automating the process. It implements various image processing techniques and was tested in the screen house setup used by International Rice Research Institute (IRRI). The systems design was finalized in consultation with and tested by the C4 researchers from IRRI. The respondent was pleased with the systems usability and remarked that it would be beneficial to their current process if used. To evaluate the systems accuracy, the generated greenness and biomass values were compared with the values obtained through the manual process. The greenness module registered a 21.9792% mean percent error in comparison to using the Leaf Color Chart. On the other hand, the biomass module yielded 206.0700% mean percent error using compressed girth measurements.

Abstract Format

html

Language

English

Format

Electronic

Accession Number

CDTU019984

Shelf Location

Archives, The Learning Commons, 12F, Henry Sy Sr. Hall

Physical Description

1 disc ; 4 3/4 in.

Keywords

Rice--Philippines; Plants--Philippines; Rice--Processing--Philippines; Image processing

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