Publications

Publications

Published Article

  1. Deb, N.C.; Basak, J.K.; Paudel, B.; Karki, S.; Kang, D.Y.; Jeon, S.W.; Seo, E.W.; Kook, J.; Kang, M.Y.; Kim, H.T., (2024). Estimation of Energy Balance throughout the Growing–Finishing Stage of Pigs in an Experimental Pig Barn. Agriculture https://doi.org/10.3390/agriculture14060862
  2. Karki, S., Basak, J.K., Tamrakar, N., Deb, N.C., Paudel, B., Kook, J.H., Kang, M.Y., Kang, D.Y., Kim, H.T., (2024). Strawberry disease detection using transfer learning of deep convolutional neural networks. Scientia Horticulturae. https://doi.org/10.1016/j.scienta.2024.113241
  3. Paudel, B., Basak, J.K., Jeon, S.W., Lee, G.H., Deb, N.C., Karki, S., and Kim, H.T., (2024). Working speed optimisation of the fully automated vegetable seedling transplanter. Journal of Agricultural Engineering. https://doi.org/10.4081/jae.2024.1569
  4. Paudel, B., Basak, J.K., Jeon, S.W., Deb, N.C., Karki, S., and Kim, H.T., (2024). Development and field testing of biodegradable seedling plug-tray cutting mechanism for automated vegetable transplanter. Journal of Agricultural Engineering. https://doi.org/10.4081/jae.2024.1566
  5. Lee, G.-H., Moon, B.-E., Basak, J. K., Kim, N.-E., Paudel, B., Jeon, S.-W., Kook, J., Kang, M.-Y., Ko, H. J., & Kim, H. T. (2023). Assessment of Load on Threshing Bar During Soybean Pod Threshing. Journal of Biosystems Engineering. https://doi.org/10.1007/s42853-023-00206-9
  6. Basak, J.K., Paudel, B., Deb, N.C., Kang, D.Y., Moon, B.E., Shahriar, S.A., and Kim, H.T., (2023). Prediction of body composition in growing-finishing pigs using ultrasound based back-fat depth approach and machine learning algorithms. Computers and Electronics in Agriculture. https://doi.org/10.1016/j.compag.2023.108269
  7. Karki, S., Basak, J.K., Paudel, B., Deb, N.C., Kim, N.E., Kook, J.H., Kang, M.Y., and Kim, H.T., (2023). Classification of Strawberry Ripeness Stages using Machine Learning Algorithms and Color Spaces. Horticulture, Environment, and Biotechnology. https://doi.org/10.1007/s13580-023-00559-2
  8. Basak, J.K., Paudel, B., Deb, N.C., Kang, D.Y., and Kim, H.T., (2023). Prediction of drinking water requirements by applying statistical and machine learning models in growing-finishing stage of pigs. Computers and Electronics in Agriculture. 210. pp 107934. https://doi.org/10.1016/j.compag.2023.107934
  9. Basak, J.K., Paudel, B., Deb, N.C., Kang, D.Y., Karki, S., and Kim, H.T., (2023). Applications of artificial neural networks and multiple linear regression algorithms in modelling of pig’s body weight. Indian Journal of Animal Research, pp.1-8. https://doi.org/10.18805/IJAR.BF-1635
  10. Deb, N.C., Basak, J.K., Paudel, B., Kim, N.E., Moon, B.E. and Kim, H.T., (2023). Emission of CO2 in a livestock barn based on diurnal activities and various growing stages of pigs. Air Quality, Atmosphere & Health, pp.1-12.https://doi.org/10.1007/s11869-023-01352-x
  11. Paudel, B., Basak, J. K., Kaushalya Madhavi, B. G., Kim, N. E., Lee, G. H., Choi, G. M., … & Kim, H. T. (2022). Properties of paper-based biodegradable pots for growing seedlings. Horticulture, Environment, and Biotechnology, 63(6), 793-807. https://doi.org/10.1007/s13580-022-00457-z
  12. Basak, J. K., Paudel, B., Kim, N. E., Deb, N. C., Kaushalya Madhavi, B. G., & Kim, H. T. (2022). Non-Destructive Estimation of Fruit Weight of Strawberry Using Machine Learning Models. Agronomy, 12(10), 2487. https://doi.org/10.3390/agronomy12102487
  13. Basak, J. K., Kim, N. E., Shahriar, S. A., Paudel, B., Moon, B. E., & Kim, H. T. (2022). Applicability of statistical and machine learning–based regression algorithms in modeling of carbon dioxide emission in experimental pig barns. Air Quality, Atmosphere & Health, 15(10), 1899-1912. https://doi.org/10.1007/s11869-022-01225-9
  14. Basak, J. K., Madhavi, B. G. K., Paudel, B., Kim, N. E., & Kim, H. T. (2022). Prediction of Total Soluble Solids and pH of Strawberry Fruits Using RGB, HSV and HSL Colour Spaces and Machine Learning Models. Foods, 11(14), 2086. https://doi.org/10.3390/foods11142086
  15. Choi, Y. W., Kim, N. E., Paudel, B., & Kim, H. T. (2022). Strawberry Pests and Diseases Detection Technique Optimized for Symptoms Using Deep Learning Algorithm. Journal of Bio-Environment Control, 31(3), 255-260. https://doi.org/10.12791/KSBEC.2022.31.3.255
  16. Madhavi, B. G. K., Basak, J. K., Paudel, B., Kim, N. E., Choi, G. M., & Kim, H. T. (2022). Prediction of Strawberry Leaf Color Using RGB Mean Values Based on Soil Physicochemical Parameters Using Machine Learning Models. Agronomy, 12(5), 981. https://doi.org/10.3390/agronomy12050981
  17. Paudel, B., Regmi, N., Phuyal, P., Neupane, D., Hussain, M.I., Kim, D.H., & Kafle, S. (2021). Techno-economic and environmental assessment of utilizing campus building rooftops for solar PV power generation. International Journal of Green Energy, 18 (14), 1469-1481. https://doi.org/10.1080/15435075.2021.1904946

Article Under Consideration

  1. Paudel, B., Riaz, S., Teng, S. W., Kolluri, R. R., Sandhu, H., (2024). The digital future of farming: a bibliometric analysis of big data in smart farming research. Cleaner and Circular Bioeconomy (Article under review)
  2. Karki, S., Kook, J.H., Paudel, B., Shin, S. H., Tamrakar, N., Deb, N.C., Kang, M. W., Kang, D. Y. and Kim, H.T., (2024). On-field grading of strawberries in a greenhouse environment with deep learningbased occlusion handling. Scientia Horticulturae (Article under review)
  3. Basak, J.K., Paudel, B., Deb, N.C., Kang, D. Y., Kang, M.Y., Sonet, S. S., and Kim, H.T., (2024). Machine learning algorithms for modeling methane concentration in pig barns using biophysical data. Journal of Environmental Management (Article under review)
  4. Basak, J.K., Paudel, B., Kang, M.Y., Karki, S., Kook, J.H., Tamrakar, N., Moon, B.E., and Kim, H.T., (2024). Determining physicochemical properties of strawberry fruits using convolutional neural network-regression models. Computers and Electronics in Agriculture (Article under review)
  5. Basak, J.K., Paudel, B., Deb, N.C., Kang, D. Y., Kang, M.Y., Roy, S. K., Shahriar, S. A., and Kim, H.T., (2024). Modeling ammonia concentration in swine building using biophysical data and machine learning algorithms. Computers and Electronics in Agriculture (Article under review)