FPGA based leaf Chlorophyll estimating regression model
| bracu.type.group | Research Publications | |
| datacite.rights | Metadata Only | |
| dc.contributor.author | Khan M.I. | |
| dc.contributor.author | Mondol, Raktim Kumar | |
| dc.date.accessioned | 2026-08-15T15:34:16Z | |
| dc.date.available | 2026-08-15T15:34:16Z | |
| dc.date.issued | 2014-04-08 | |
| dc.description.abstract | Architecture of simple, portable, low cost Chlorophyll estimator based on Field Programmable Gate Array (FPGA) is proposed in this paper. Color of leaf can give an indication for assessment of plant health and nutrient. Performance analysis of several regression model shows that multivariate linear regression model with nonlinear terms provides best fit between estimated Chlorophyll values with image data. We find that the residuals are near in baseline and the adjusted coefficient of determination (Raa2 is 0.99 which is very significant. Root mean square error (RMSE) is 3.3 out of 15 leaf image samples with 5 error degrees of freedom (EDF). Hardware architecture is designed as best regression model has less computational complexity and greater accuracy. | |
| dc.identifier.citation | M. I. Khan and R. K. Mondol, "FPGA Based Leaf Chlorophyll estimating regression model," The 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA 2014), Dhaka, Bangladesh, 2014, pp. 1-6, doi: 10.1109/SKIMA.2014.7083557. | |
| dc.identifier.issn | 9781479963997 | |
| dc.identifier.other | 2-s2.0-84983189065 | |
| dc.identifier.uri | https://hdl.handle.net/10361/29116 | |
| dc.language.iso | en_US | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
| dc.relation.hasversion | 10.1109/SKIMA.2014.7083557 | |
| dc.relation.ispartof | Skima 2014 8th International Conference on Software Knowledge Information Management and Applications | |
| dc.relation.ispartofseries | Skima 2014 8th International Conference on Software Knowledge Information Management and Applications | |
| dc.rights | false | |
| dc.subject | FPGA | |
| dc.subject | Leaf chlorophyll | |
| dc.subject | Regression | |
| dc.subject | Verilog HDL | |
| dc.title | FPGA based leaf Chlorophyll estimating regression model | |
| dc.type | Conference Proceeding | |
| person.affiliation.name | Bangladesh University of Engineering and Technology | |
| person.affiliation.name | BRAC University | |
| person.identifier.scopus-author-id | 55487948100 | |
| person.identifier.scopus-author-id | 56297717700 |