Page 244 - SDMD CNKT va CNTT trong tien trinh CNH_HDH DBSCL
P. 244

Benelli, A., Cevoli, C., Ragni, L., & Fabbri, A. (2021). In-field and non-destructive
              monitoring  of  grapes  maturity  by  hyperspectral  imaging.  Biosystems
              Engineering, 207, 59–67. https://doi.org/10.1016/j.biosystemseng.2021.04.006
          Blakey,  R. J. (2016).  Evaluation  of avocado fruit maturity  with  a  portable near-
              infrared  spectrometer.  Postharvest  Biology  and  Technology,  121,  101–105.
              https://doi.org/10.1016/j.postharvbio.2016.06.016
          Bộ Khoa học và Công nghệ. (2024). Văn phòng các Chương trình trọng điểm cấp
              nhà nước. https://vpct.gov.vn/Introduce
          Borba, K. R., Spricigo, P. C., Aykas, D. P., Mitsuyuki, M. C., Colnago, L. A., &
              Ferreira, M. D. (2021). Non-invasive quantification of vitamin C, citric acid,
              and sugar in ‘Valência’ oranges using infrared spectroscopies. Journal of Food
              Science and Technology, 58(2), 731–738. https://doi.org/10.1007/s13197-020-
              04589-x
          Cattaneo, T. M. P. & Stellari, A. (2019). Review: NIR spectroscopy as a suitable
              tool  for  the  investigation  of  the  horticultural  field.  Agronomy,  9(9),  503.
              https://doi.org/10.3390/agronomy9090503
          Çetin, N., Karaman, K., Kavuncuoğlu, E., Yıldırım, B., & Jahanbakhshi, A. (2022).
              Using hyperspectral imaging technology and machine learning algorithms for
              assessing  internal  quality  parameters  of  apple  fruits.  Chemometrics  and
              Intelligent  Laboratory  Systems,  230,  104650.  https://doi.org/10.1016/j.
              chemolab.2022.104650
          Chauhan, O. P., Lakshmi, S., Pandey, A. K., Ravi, N., Gopalan, N., & Sharma, R.
              K. (2017). Non-destructive quality monitoring of fresh fruits and vegetables.
              Defence Life Science Journal, 2(2), 103. https://doi.org/10.14429/dlsj.2.11379
          Cheepsomsong, T., Sangwanangkul, P., Puttipipatkajorn, A., Terdwongworakul, A.,
              Puttipipatkajorn,  A.,  Kulmutiwat,  S.,  &  Phuangsombut,  A.  (2023).  Multi-
              parameter  index  for  durian  maturity  and its  prediction  using miniature  near
              infrared  spectrometer.  Postharvest  Biology  and  Technology,  205(April),
              112487. https://doi.org/10.1016/j.postharvbio.2023.112487
          Cổng Thông tin điện tử Chính phủ. (2022). Nghị quyết 78/NQ-CP 2022 Chương
              trình  thực  hiện  Nghị  quyết  13-NQ/TW.  https://datafiles.chinhphu.vn/cpp/
              files/vbpq/2022/06/78-nq.signed.pdf
          de Freitas, S. T., Guimarães, Í. T., Vilvert, J. C., do Amaral, M. H. P., Brecht, J. K.,
              & Marques, A. T. B. (2022). Mango dry matter content at harvest to achieve
              high  consumer  quality  of  different  cultivars  in  different  growing  seasons.
              Postharvest Biology and Technology, 189, 111917. https://doi.org/10.1016/j.
              postharvbio.2022.111917
          Devassy,  B.,  &  George,  S.  (2021).  Estimation  of  strawberry  firmness  using
              hyperspectral imaging: A comparison of regression models. Journal of Spectral
              Imaging, 10, a3. https://doi.org/10.1255/jsi.2021.a3


          230
   239   240   241   242   243   244   245   246   247   248   249