Highlights

Hyperspectral imaging and multivariate analysis as cutting-edge methods for authenticating saffron origins (Experiment completed). Contribution: Data curation, Formal analysis, Investigation, Methodology, Software.

Integrating hyperspectral imaging, deep learning, and chemometrics to improve kiwi fruit quality prediction in packaged and non-packaged environments (Experiment completed). Contribution: Data curation, Formal analysis, Methodology.

Intelligent pistachio sorting: Real-time high-throughput processing through advanced deep learning models (Experiment completed). Contribution: Data curation, Formal analysis, Investigation, Methodology, Software.

Development and evaluation of a natural convection solar dryer for drying Pineapple in Bangladesh (Preparing for submission). Contribution: Conceptualization, Data curation, Formal analysis, Methodology, Software, Visualization, Writing-original draft, Writing-review, and editing.

T. Akter, M. A. Faqeerzada, Y. Kim, M. Fahri R. Pahlawan, U. Aline, H. Kim, H. Kim, B.-K. Cho. Hyperspectral imaging with multivariate analysis for detection of exterior flaws for quality evaluation of apples and pears, Postharvest Biology and Technology (Submitted), Contribution: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Writing – review & editing, Writing – original draft. 

U. Aline, D. Semyalo, M. Fahri R. Pahlawan, T. Akter, M. A. Faqeerzada, S.-Y. Kim, D. Oh, B.-K. Cho. Integration of Hyperspectral Imaging and Chemometrics for the Internal Quality Evaluation of Packaged and Non-Packaged Fresh Fruit, Journal of Agricultural and Food Chemistry (Submitted), Contribution: Data curation, Formal analysis, Writing – review & editing.

M. A. Faqeerzada, Y.-N. Kim, H. Kim, T. Akter, H. Kim, M.-S. Park, M. S. Kim, I. Baek, B.-K. Cho. Polarized Hyperspectral Imaging System for Pre- and Post-harvest Defect Detection in Paprika Fruits, Postharvest Biology and Technology, 2024, 218, 113151, https://www.sciencedirect.com/science/article/pii/S092552142400396X

T. Akter, T. Bhattacharya, J.-H. Kim, M. S. Kim, I. Baek, D. E. Chan, B.-K. Cho, A Comprehensive Review of External Quality Measurements of Fruits and Vegetables Using Nondestructive Sensing Technology, Journal of Agriculture and Food Research, 2024, 15, 101068, doi: https://doi.org/10.1016/j.jafr.2024.101068

M. A. Faqeerzada, T. Akter, U. Aline, M. Fahri, R. Pahlawan, and B.-K. Cho, “Application of Hyperspectral Imaging for Rapid Nondestructive Detection of Paraffine-Contaminated Rice,” in BIO Web of Conferences, ICoSIA 2023, 2023 p. 8. doi: https://doi.org/10.1051/bioconf/20238001001

 T. Akter, T. H. Sharna, C. K. Saha, and M. Alam, “Evaluation of Solar Tunnel Dryer for Drying of Cabbage,” J. Bangladesh Agric. Univ., vol. 20, no. 3, pp. 267–279, 2022, doi: https://doi.org/10.5455/JBAU.102921

[Poster] 2024 International Conference, Advances of Smart Agriculture based on Agri-Bigdata and Artificial Intelligence, BK International Academic Conference, "Hyperspectral imaging along with multivariate analysis for the detection of exterior flaws for quality evaluation of Apple and Pear," February 28, 2024, Department of Smart Agriculture Systems, College of Agriculture and Life Sciences, Chungnam National University, Daejeon, South Korea.

[Oral] 2023 Fall Academic Conference and the 49th Annual General Meeting, Korean Society for Agricultural Machinery (KSAM),“ Hyperspectral imaging along with multivariate analysis for the detection of exterior flaws for quality evaluation of Apples and pears,” November 2–3, 2023, Hidden Bay Hotel, Yeosu, South Korea. https://bit.ly/KSAMConferenceAbstract

[Poster] 2023 KoSFoST International Symposium and Annual Meeting, Sustainable Food Innovation: A Bridge to the Future for All, Korean Society of Food Science and Technology (KoSFoST), “Hyperspectral imaging and multivariate analysis as cutting-edge methods for authenticating saffron origins,” June 28–30, 2023, ICC Jeju Island, South Korea. bit.ly/KoSFoSTConference