Open Access
| Issue |
BIO Web Conf.
Volume 85, 2024
3rd International Conference on Research of Agricultural and Food Technologies (I-CRAFT-2023)
|
|
|---|---|---|
| Article Number | 01044 | |
| Number of page(s) | 9 | |
| Section | Research of Agricultural and Food Technologies | |
| DOI | https://doi.org/10.1051/bioconf/20248501044 | |
| Published online | 09 January 2024 | |
- D. Işık, E. Colak, G. Saray, O. Güven, Gesunde Pflanzen. 3, 1-9 (2023) [Google Scholar]
- M. Şevik, Y. Toksöz, J. Turk. Phytopath, 37 1-3, 15-25 (2008) [Google Scholar]
- S. Ermiş, R. Yanmaz, Turkish Journal of Agricultural and Natural Science, 9, 2, 413-423 (2022) [Google Scholar]
- E. Gaziev, International Journal of Solids and Structures , 38, 42–43, 7681-7690 (2021) [Google Scholar]
- A. Senthilselvi, J. Duela, R. Prabavathi, D. Sara, Journal of Ambient Intelligence and Humanized Computing, 1-6 (2021) [Google Scholar]
- D. Yıldırım, E. Y. Cevher, Processes, 10, 2245 (2022) [CrossRef] [Google Scholar]
- Y.C. Hu, Appl. Math. Comput. 185, 72–83 (2007) [Google Scholar]
- S.W. Wu, X.G. Zhou, G.M. Cao, Z.Y. Liu, G.D. Wang, Materials & Design, 116, 676-685 (2017) [CrossRef] [Google Scholar]
- V. Farzaneh, H. Bakhshabadi, M. Gharekhani, M. Ganje, F. Farzaneh, S. Rashidzadeh, I. S. Carvalho, Journal Food Process Engineering. 40: e12562 (2017) [CrossRef] [Google Scholar]
- C.J. Du, D.W. Journal of food engineering, 72, 1, 39-55 (2006) [CrossRef] [Google Scholar]
- S. Karman, I. Ozturk, H. Yalcin, A. Kayacier, O. Sagdic, Journal of the Science of Food and Agriculture, 92, 1, 49–58 (2012) [CrossRef] [PubMed] [Google Scholar]
- M. Azadbakht, M.J. Mahmoodi, A. Abbaszadeh-Mayvan, International Journal of Horticultural Science and Technology, 9, 3, 275-289 (2022) [Google Scholar]
- A. Ziaratban, M. Azadbakht, A. Ghasemnezhad, International Journal of Food Properties. ISSN: 1094-2912 (Print) 1532-2386 (2016) [Google Scholar]
- H. Lu, H. Zheng, H. Lou, L. Jiang, Y. Chen, S. Fang, Journal of Agricultural and Food Chemistry, 58, 5, 2995-3001 (2010) [CrossRef] [PubMed] [Google Scholar]
- P. Hara, M. Piekutowska, G. Niedbała, Agriculture. 13, 29 (2022) [CrossRef] [Google Scholar]
- E.Y. Cevher, D. Yıldırım, Processes, 10, 11, 2245. (2022) [CrossRef] [Google Scholar]
- P. Hara, P. Magdalena, G. Niedbala, Prediction of Pea (Pisum sativum L.) seeds yield using artificial neural networks. Agriculture. 13, 661 (2023) [CrossRef] [Google Scholar]
- B.P. Verma, Application of fuzzy logic in post-harvest quality decisions. In Proceedings of the National Seminar on Postharvest Technology of Fruits (pp. 22–28). Bangalore, India: University of Agricultural Sciences (Aug 7–9) (1995) [Google Scholar]
- Z. Wang, J. Li, C. Zhang, S. Fan, Agriculture, 13, 359 (2023) [CrossRef] [Google Scholar]
- N.N. Mohsenin, Physical properties of plant and animal materials. Gordon and Breach Science Publishers, New York, pp: 51-83 (1970) [Google Scholar]
- E. Yeşiloğlu, D. Yıldırım, Y. B. Öztekin, Effect of loading position and storage duration on the mechanical properties of abate fetel pear variety. 6th International Conference on Trends in Agricultural Engineering (TAE). pp.714-718 (2016) [Google Scholar]
- Y.B. Yurtlu, E. Yeşiloğlu, Journal of Agricultural Science 17, 4, 337-34 (2011) [Google Scholar]
- B. Cemek, A. Unlukara, A. Kurunc., E. Küçüktopçu, Comput Electron Agric, 174:105514 (2020) [CrossRef] [Google Scholar]
- M. Omid, M. Khojastehnazhand, A. Tabatabaeefar, J Food Eng., 100, 2, 315–321 (2010) [CrossRef] [Google Scholar]
- F.O. Karray, C.D. Silva, Soft computing and intelligent systems design: theory, tools and applications. Addison Wesley Pearson Press, New York. (2004) [Google Scholar]
- N. Çetin, K. Karaman, E. Beyzi, C. Sağlam, B. Demirel, Food Analiytical Methods. 14: 1666-1681 (2021) [CrossRef] [Google Scholar]
- S. Skansi, Introduction to Deep Learning: from logical calculus to artificial intelligence, Springer, Cham, Switzerland (2018) [CrossRef] [Google Scholar]
- H.K. Cigizoglu, O. Kisi. Hydrol. Res., 36, 49–64 (2005) [CrossRef] [Google Scholar]
- M.Y. El-Bakry, Feed forward neural networks modeling for K–P interactions, Chaos, Solitons Fractals 18, 995–1000 (2003) [CrossRef] [Google Scholar]
- S.K. Chandar, J Ambient Intell Humaniz Comput. (2019) [Google Scholar]
- H. Daneshmand, T. Tavousi, M. Khosravi, S. Tavakoli, J. Saudi Soc. Agric. Sci. 14, 33–40, (2015) [Google Scholar]
- J.S.R. Jang, ANFIS: adaptive-network based fuzzy inference system. IEEE Transactions on Systems, Man, and Cybernetics 23, 3, 665–685 (1993) [CrossRef] [Google Scholar]
- I. Ahmadianfar, S. Shirvani-Hosseini, J. He, A. Samadi-Koucheksaraee, Z. M. Yaseen, Scientific Reports, 14:4934 (2022) [CrossRef] [PubMed] [Google Scholar]
- H. Daneshmand, T. Tavousi, M. Khosravi, S. Tavakoli, Journal of the Saudi Society of Agricultural Sciences. 14, 33-40 (2015) [CrossRef] [Google Scholar]
- D.L. Waller, Operations management: a supply chain approach. Cengage Learning Business Press, Boston. (2003) [Google Scholar]
- M. Azadbakht, H. Aghili, A. Ziaratban, M. Vahedi, M. Torshizi, Energy, 120, 947–958 (2017) [CrossRef] [Google Scholar]
- E. Küçüktopcu, B. Cemek, Journal Environmental Chemical Engineering. 105699 (2021) [Google Scholar]
- D.A.D. Genuino, B.G. Bataller, S.C. Capareda, M. D.G. De Luna, J. Environ. Chem. Eng. 5, 4101–4107 (2017) [CrossRef] [Google Scholar]
- J. Adamowski, C. Karapataki, J. Hydrol. Eng., 15, 729–743 (2010) [CrossRef] [Google Scholar]
- J. Gorzelany, J. Belcar, P. Kuźniar, G. Niedbała, K. Pentoś, Agriculture, 12, 2, 200 (2022) [CrossRef] [Google Scholar]
- S. Zarifneshat, A. Rohani, H. R. Ghassemzadeh, M. Sadeghi, E. Ahmadi, M. Zarifneshat, Computers and electronics in agriculture, 82, 75-86 (2012) [CrossRef] [Google Scholar]
- H. Vasighi-Shojae, M. Gholami-Parashkouhi, D. Mohammadzamani, A. Soheili, Food Analytical Methods, 13, 3, 699-705 (2020) [CrossRef] [Google Scholar]
- M.H. Saiedirad, M. Mirsalehi, Journal of Texture Studies, 41, 1, 34-48 (2010) [CrossRef] [Google Scholar]
- F. Kurtulmuş, I. Alibaş, L. Kavdir, Int J Agric & Biol Eng., 9, 1, 51 (2016) [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.