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2022 Vol.40, Issue 5 Preview Page

Research Article

31 October 2022. pp. 571-577
Abstract
References
1
Banerjee T, Sinha S, Choudhury P (2022) Long term and short term forecasting of horticultural produce based on the LSTM network model. Appl Intell 52:9117-9147. doi:10.1007/s10489-021-02845-x 10.1007/s10489-021-02845-x
2
Han SH, Kang JH (2011) Effect of water states of fruit vesicle and leaf on fruit quality in 'Trifoliate' orange and 'Swingle citrumelo' rootstock of 'Shiranuhi' [(Citrus unshiu × C. sinensis) × C. reticulata] mandarin Hybrid, M16A line in plastic film house cultivation. J Bio-Env Con 20:204-210
3
Hochreiter S, Schmidhuber J (1997) Long short-term memory. Neural Comput 9:1735-1780. doi:10.1162/neco.1997.9.8.1735 10.1162/neco.1997.9.8.17359377276
4
Im JM, Kim WY, Byoun WJ, Shin SJ (2018) Fruit price prediction study using artificial intelligence. JCCT 4:197-204. doi:10.17703/JCCT.2018.4.2.197 10.17703/JCCT.2018.4.2.197
5
Kim BS (2005) A comparison on forecasting performance of the application models for Forecasting of vegetable prices. KJAT 46:89-113
6
Kim SK, Oh TI (2018) Real-time PM10 concentration prediction LSTM model based on IoT streaming sensor data. JKAIS 19:310-318. doi:10.5762/KAIS.2018.19.11.310 10.5762/KAIS.2018.19.11.310
7
Ko SB (2017) A study on the analysis of shipment structure of hallabong tangor in Korea. JKAIS 18:670-676. doi:10.5762/KAIS.2017.18.7.670 10.5762/KAIS.2017.18.7.670
8
Ko SB, Kim BS (2012) A study on the model specification for supply-demand forecast of hallabong tangor in Korea. JKAIS 13:5163-5168. doi:10.5762/KAIS.2012.13.11.5163 10.5762/KAIS.2012.13.11.5163
9
Kurumatani K (2020) Time series forecasting of agricultural product prices based on recurrent neural networks and its evaluation method. SN Appl Sci 2:1434. doi:10.1007/s42452-020-03225-9 10.1007/s42452-020-03225-9
10
Lee JK, Oh JW, Cho YJ, Lee DH (2020) A research about time domain estimation method for greenhouse environmental factors based on artificial intelligence. Protected Hortic Plant Fac 29:277-284. doi:10.12791/KSBEC.2020.29.3.277 10.12791/KSBEC.2020.29.3.277
11
Lee YS, Choi BO, Shim SB (2006) A time series analysis on prices of fruits and vegetables. Agri-Policy Focus R537, KREI 53-58
12
Nam KH, Choe YC (2015) A study on onion wholesale price forecasting model. JAECD 22:423-434. doi:10.12653/jecd.2015.22.4.0423 10.12653/jecd.2015.22.4.0423
13
Olah C (2015) Understanding LSTM networks. https://colah.github.io/posts/2015-08-Understanding-LSTMs. 2021.03.17
14
Prakash N, Sumaiya Farzana G (2019) Short term price forecasting of horticulture crops using long short term memory neural network. Adv Comput Bio-Eng 111-118. doi:10.1007/978-3-030-46943-6_12 10.1007/978-3-030-46943-6_12
15
Shin SH, Lee MK, Song SK (2018) A prediction model for agricultural products price with LSTM network. Jour of KoCon a 18:416-429. doi:10.5392/JKCA.2018.18.11.416 10.5392/JKCA.2018.18.11.416
Information
  • Publisher :KOREAN SOCIETY FOR HORTICULTURAL SCIENCE
  • Publisher(Ko) :원예과학기술지
  • Journal Title :Horticultural Science and Technology
  • Journal Title(Ko) :원예과학기술지
  • Volume : 40
  • No :5
  • Pages :571-577
  • Received Date :2022. 02. 03
  • Revised Date :2022. 04. 07
  • Accepted Date : 2022. 06. 09