21. Ahmed, M. R., Ram, B., Zhang, Y., Sun, X. (2022). Identification of resistance and susceptible weeds in greenhouse environment using hyperspectral imaging. In preparation.
20. Yasmin, J., Ahmed, M. R., Lohumi, S., Collins, W., Moon, S. K., Mukasa, P., Kim, G., Kim, J., and Cho, B.-K. (2022). Near-Infrared Hyperspectral Imaging for Online Measurement of the Viability of Naturally Aged Watermelon Seeds. Submitted.
19. Ahmed, M. R., Ram, B., Cengiz, K., Howatt, K., Zhang, Y., Sun, X. (2022). Multiclass Classification on Soybean and Weed Species using A Novel Customized Greenhouse Robotic and Hyperspectral Combination System. Transactions of the ASABE. Accepted.
18. Cengiz, K., Ram, B., Kelvin, B., Zhang,Y., Ahmed, M. R., Ostlie, M., Howatt, K., Sun, X., (2022). A Study on UAV Spraying Droplet Distribution Parameters for Precision Weed Management. Computers and Electronics in Agriculture. Submitted.
17. Sunil, G. C., Zhang, Y., Koparan, C., Ahmed, M. R., Howat, R. Sun, X. (2021). Classification of Weeds in Different Crop Species Using RGB Image-Based Texture Features and Support Vector Machine Classifier. Precision Agriculture. Submitted.
16. Sunil, G. C., Zhang, Y., Koparan, C., Ahmed, M. R., Howat, K., & Sun, X. (2022). Weed and crop species classification using computer vision and deep learning technologies in greenhouse conditions. Journal of Agriculture and Food Research, 100325.
15. Ahmed, M. R., D. Reed, D., Young, J. M., Eshkabilov, S., Berg, P. E., and Sun, X. (2021). Beef quality grade classification based on intramuscular fat profile using hyperspectral imaging technology. Applied Sciences, 11(10), 4588. https://doi.org/10.3390/app11104588
14. Ahmed, M. R., Yasmin, J., Collins, W., Perez, M., Cho, B.-K. (2020). Classification of pepper seed quality based on internal structure using X-ray CT imaging. Computers and Electronics in Agriculture, 179, 105839. https://doi.org/10.1016/j.compag.2020.105839
13. Yasmin, J., Lohumi, S., Ahmed, M. R., Kandpal, L.M., Faqeerzada, M.A., Kim, M.S., Cho, B.-K., (2020). Improvement in Purity of Healthy Tomato Seeds Using an Image-Based One-Class Classification Method. Sensors, 20(9):2690., https://doi.org/10.3390/s20092690
12. Ahmed, M. R., Yasmin, J., Collins, W., Cho, B.-K. (2020). Classification of watermelon seed using morphological patterns of X-ray imaging: A comparison of conventional machine learning and transfer learning. Sensors, 20(23): 6753. https://doi.org/10.3390/s20236753
11. Ahmed, M. R., Yasmin, J., Collins, W., Lohumi, S., Cho, B.-K. (2019). Assessment of the Morphological Structure of Watermelon and Muskmelon Seeds as Related to Viability. Journal of Biosystems Engineering, 44(2), 77–86. https://doi.org/10.1007/s42853-019-00018-w
10. Yasmin, J., Ahmed, M. R., Lohumi, S., Collins, W., Moon, S. K., Cho, B.-K. (2019). Classification Method for Viability Screening of Naturally Aged Watermelon Seeds Using FT-NIR Spectroscopy. Sensors 19(5):1190., http://dx.doi.org/10.3390/s19051190
09. Yasmin, J., Ahmed, M. R., Lohumi, S., Collins, W., Lee, H., Mo, C., B.k. Cho. (2019). Rapid authentication measurement of cinnamon powder using FT-NIR and FT-IR spectroscopic techniques. Quality Assurance and Safety of Crops & Foods, 11(3), 257–267. https://doi.org/https://doi.org/10.3920/QAS2018.1318
08. Ahmed, M. R., Yasmin, J., Collins, W., Cho, B. K. (2018). X-ray CT image analysis for morphology of muskmelon seed in relation to germination. Biosystems Engineering, 175, 183–193. https://doi.org/10.1016/j.biosystemseng.2018.09.015
07. Ahmed, M. R., Yasmin, J., Lee, W.-H., Mo, C., Cho, B.-K. (2017). Imaging Technologies for Nondestructive Measurement of Internal Properties of Agricultural Products: A Review. Journal of Biosystems Engineering, 42(3), 199–216. https://doi.org/10.5307/JBE.2017.42.3.199
06. Jung, J. M., Jung, S., Ahmed, M. R., Cho, B. K., Lee, W. H. (2017). Invasion risk of the yellow crazy ant (Anoplolepis gracilipes) under the Representative Concentration Pathways 8.5 climate change scenario in South Korea. Journal of Asia-Pacific Biodiversity, 10(4), 548–554. https://doi.org/10.1016/j.japb.2017.08.004
05. Ahmed, M. R., Yasmin, J., Mo, C., Lee, H., Kim, M. S., Hong, S.-J., Cho, B.-K. (2016). Outdoor Applications of Hyperspectral Imaging Technology for Monitoring Agricultural Crops: A Review. Journal of Biosystems Engineering, 41(4), 396–407. https://doi.org/10.5307/jbe.2016.41.4.396
04. Yasmin, J., Ahmed, M. R., Cho, B.-K. (2016). Biosensors and their Applications in Food Safety: A Review. Journal of Biosystems Engineering, 41(3), 240–254. https://doi.org/10.5307/jbe.2016.41.3.240
03. Milufarzana, Rahman, A., Alam, M. M., Ahmed, M. R. (2015). Economic parameter of maize sheller for custom hire service in Bangladesh. Agricultural Engineering International: CIGR Journal, 17(2), 146–150. http://www.cigrjournal.org/index.php/Ejounral/article/view/3205
02. Ahmed, M. R., Billah, M. M., Ziaussin, A. T. M. (2012). Battery operated usg applicator. Journal of Progressive Agriculture, 23(1&2), 75–80. https://doi.org/http://dx.doi.org/10.3329/pa.v23i1-2.16618
01. Rahman, A., Rabbani, M. A., Alam, M. M., Milufarzana, Yasmin, J., Ahmed, M. R. (2012). Development and evaluation of a star cum cono weeder for wet lands. Bangladesh Journal of Agricultural Engineering, 23(1 & 2), 33–40.
