Title
Research on the Importable of Machine Learning Technology in
Japanese Vegetable Distribution Field( 内容と審査の要旨
(Summary) )
Author(s)
李, 寧
Report No.(Doctoral
Degree)
博士(農学) 甲第704号
Issue Date
2019-03-13
Type
博士論文
Version
ETD
URL
http://hdl.handle.net/20.500.12099/77940
※この資料の著作権は、各資料の著者・学協会・出版社等に帰属します。㹙㸯㸱㹛 Ặ ྡ㸦ᮏ㸦ᅜ㸧⡠㸧 ᮤ ᑀ㸦୰⳹ேẸඹᅜ㸧 Ꮫ ࡢ ✀ 㢮 ༤ኈ㸦㎰Ꮫ㸧 Ꮫ グ ␒ ྕ ㎰༤⏥➨㸵㸮㸲ྕ Ꮫ ᤵ ᖺ ᭶ ᪥ ᖹᡂ㸱㸯ᖺ㸱᭶㸯㸱᪥ ◊ ✲ ⛉ ཬ ࡧ ᑓ ᨷ 㐃ྜ㎰Ꮫ◊✲⛉ ⏕≀⏕⏘⛉Ꮫᑓᨷ ◊✲ᣦᑟࢆཷࡅࡓᏛ ᒱ㜧Ꮫ
Ꮫ ㄽ ᩥ 㢟 ┠ Research on the Importable of Machine Learning Technology in Japanese Vegetable Distribution
Field 㸦᪥ᮏࡢ㔝⳯ὶ㏻⌧ሙࡢᶵᲔᏛ⩦ᢏ⾡ᑟධ㛵ࡍ ࡿ◊✲㸧 ᑂ ᰝ ጤ ဨ ᰝ ᒱ㜧Ꮫ ᩍ ᤵ Ⲩ ᖭ ඞ ᕫ ᰝ ᒱ㜧Ꮫ ᩍ ᤵ ๓ ⃝ 㔜 ⚰ ᰝ 㟼ᒸᏛ ᩍᤵ ᰘ ᇉ ⿱ ྖ ㄽ ᩥ ࡢ ෆ ᐜ ࡢ せ ᪨ ᮏㄽᩥࡢ┠ⓗࡣࠊ᪥ᮏࡢᅜ⏘㔝⳯ὶ㏻ࢩࢫࢸ࣒ᑐࡋ࡚ࠊ㎰ᴗᨻ⟇ࡢᨵၿࡸᕷሙኚື క࠺⟇ࢆไᚚࡍࡿ㝿ࡢၥ㢟ゎỴ⧅ࡀࡿᢏ⾡ࢆᥦࡍࡿࡇ࡛࠶ࡿࠋࡑࡢࡓࡵࠊ⏕ ⏘ᆅᇦᾘ㈝ᆅᇦࡢ㟷ᯝ≀༺ᕷሙὶ㏻ࡢ⌧≧ࢆᶵᲔᏛ⩦ᢏ⾡࡛ศᯒࡋᕷሙ⤒Ⴀ࠾ ࡅࡿ⟶⌮ᨵၿ⟇ࢆ᥈ồࡋࡓࠋᮏ◊✲ᡂᯝࡣࠊ᪥ᮏࡢ㟷ᯝ≀ὶ㏻ࢩࢫࢸ࣒య࠾࠸࡚ᶵ ᲔᏛ⩦ᢏ⾡ࡢᑟධࡀ᭷ຠ࡞ᡂᯝࢆฟࡍࡿྍ⬟ᛶࢆᥦ♧ࡍࡿࠋ ᮏ◊✲ࡢ➨୍㒊ศࡣࠊ᪥ᮏ᭱࢟ࣕ࣋ࢶ⏘ᆅࡢឡ▱┴⨾ᆅ༊ࡢ⏘ᆅᕷሙ࠾ࡅࡿࢭ ࣜ౯᱁ࡢᙧᡂ㐣⛬ᑐࡋ࡚ᶵᲔᏛ⩦ᢏ⾡ࢆᑟධࡋࠊࢭࣜ౯᱁ᙧᡂ࣓࢝ࢽࢬ࣒ࢆศᯒࡋ ࡓࠋࡑࡇ࡛ࡣࠊ㟷ᯝ≀ࡢ⫱✀ィ⏬ࡸ✭㔞ண ศ㔝࡛ຠ⋡ⓗຠᯝࢆⓎࡋ࡚࠸ࡿࣛࣥࢲ ࣒ࣇ࢛ࣞࢫࢺࣔࢹࣝࢆ㐺⏝ࡋࡓࠋࡇࡢࣔࢹࣝࢆᵓ⠏ࡍࡿ㐣⛬࡛ࠊࢭࣜ౯᱁ࡢኚື㛵㐃 ࡍࡿ5 ኚᩘࡀ⪃៖ࡉࢀ᳨ドࡉࢀࡓࠋࡑࡇ࡛ࡣṇ☜࡞౯᱁೫ᕪࢆண ࡍࡿࡇࡀ࡛ࡁࠊ⏘ ᆅᕷሙ࠾ࡅࡿࢭࣜ㛫ࡢ▷⦰⧅ࡀࡿࡇࡀ☜ㄆ࡛ࡁࠊᶵᲔᏛ⩦ᢏ⾡ࡀ㟷ᯝ≀ὶ㏻ࡢ ຠ⋡ᙺ❧ࡘᡭἲ࡛࠶ࡿࡇࡀ♧၀ࡉࢀࡓࠋᚋࡣࠊࡉࡽ࡞ࡿ㎰ᴗࣅࢵࢢࢹ࣮ࢱࢆຍ ࡍࡿࡇࡼࡾࠊேࡢ㛵ࢆ᭱ᑠ㝈ࡋࡓᆅᇦ㎰ᴗ⯆ࡘ࡞ࡀࡿᕷሙᨻ⟇ไᐃࡢྍ ⬟ᛶࢆᥦ♧ࡋࡓࠋ ᮏ◊✲ࡢ➨㒊ศ࡛ࡣࠊᾘ㈝ᆅᇦ༺ᕷሙ࠾ࡅࡿ࢟ࣕ࣋ࢶྲྀᘬࡢ⿵ຓⓗண ᶵ⬟ࢆ ഛ࠼ࡓࢫ࣮࣒࢟ࢆ㛤Ⓨࡋࡓࠋࣅࢵࢢࢹ࣮ࢱࢆᶵᲔᏛ⩦ᢏ⾡ᑟධࡍࡿࡇࢆ㏻ࡋ࡚ࠊ༺ ᕷሙ࠾ࡅࡿሗཷⓎಙᶵ⬟ࢆ⌧ᅾࡼࡾ⢭ᐦࡍࡿࡇࢆ┠ⓗࡋࠊ᪥ᮏࡢ᭱㟷ᯝ ≀༺ᕷሙ࡛࠶ࡿᮾி㒔୰ኸ༺ᕷሙ⏣ᕷሙ࠾ࡅࡿ㔝⳯ฟⲴ㔞ண ࡇࡢᶵᲔᏛ ⩦ࢫ࣮࣒࢟ࢆ㐺⏝ࡋࠊண ᪉ἲࡢ⢭☜ᗘࢆศᯒࡋࡓࠋࡑࡋ࡚ࠊࡇࡢ㡿ᇦ࡛ࡢ᭱㐺タィࢫ
࣮࣒࢟ࣔࢹࣝࡣANN ࣔࢹ࡛ࣝ࠶ࡿࡇࢆ☜ㄆࡋࡓࠋࡘࡲࡾࠊ᭱㐺ࣔࢹࣝࢆᐃ⩏ࡍࡿࣉ ࣟࢭࢫࡑࡢࣔࢹࣝホ౯⤖ᯝࡽࠊML ࣔࢹࣝࡀࡣࡿ㧗࠸ண ⢭ᗘࢆᥦ౪ࡍࡿࡇ ࢆぢฟࡋࡓࠋࡇࡢࣔࢹࣝᶵ⬟ࡼࡾࠊᕷሙ㛤タ⪅ࡢฟⲴ㔞ண ㄗᕪࡢⓎ⏕ࢆᴟຊᢚไࡉ ࢀࡿࡇࡀ♧ࡉࢀࠊᶵᲔᏛ⩦ᢏ⾡ࡣ༺ᕷሙࡢሗཷⓎಙᶵ⬟ࢆᨵၿᙺ❧ࡘᡭἲ࡛࠶ ࡿࡇࡀ♧၀ࡉࢀࡓࠋ ୖグࡢ◊✲ᡂᯝࡣࠊ㣗ရὶ㏻ศ㔝࡛ࣅࢵࢢࢹ࣮ࢱᶵᲔᏛ⩦ᢏ⾡ࢆ⏝ࡍࡿࡇࡀ⏘ ᆅᕷሙࡸᾘ㈝ᆅ༺ᕷሙ࠾ࡅࡿฟⲴ⪅ᕷሙ⤒Ⴀ⪅ࡢ࣐ࢿ࣮ࢪ࣓ࣥࢺ࠸ᙺ❧ ࡘࢫ࣮࣒࢟࡞ࡿࡇࡀ♧၀ࡉࢀࡓࠋ ᑂ ᰝ ⤖ ᯝ ࡢ せ ᪨ ࣅࢵࢢࢹ࣮ࢱศᯒᢏ⾡ࡣࠊࢡࣛ࢘ࢻࢥࣥࣆ࣮ࣗࢸࣥࢢࡸ࣮ࣜࣔࢺࢭࣥࢩࣥࢢ ࡶ᪂⯆ࢹࢪࢱࣝᢏ⾡ࡢ୍ࡘ࡛࠶ࡾࠊᚋࡢ᪥ᮏ㎰ᴗࡢⓎᒎࡣḞࡏ࡞࠸ᢏ⾡࡛࠶ ࡿࠋ⏦ㄳ⪅Li Ặࡣࠊ᪂ࢹࢪࢱࣝᢏ⾡ࡋ࡚ὀ┠ࡉࢀ࡚࠸ࡿࣅࢵࢢࢹ࣮ࢱศᯒᢏ⾡ࢆ ᕷሙὶ㏻ศ㔝㐺⏝ࡍࡿࡇࢆヨࡳࡓࠋ㎰ᴗศ㔝࡛ࡢࣅࢵࢢࢹ࣮ࢱศᯒࡣᶵᲔᏛ⩦ᢏ ⾡ࡀὶ࡛࠶ࡾࠊLi Ặࡣᅜ⏘㔝⳯ὶ㏻ᣐⅬ࡛࠶ࡿ㟷ᯝ≀༺ᕷሙࡸ㔝⳯⏘ᆅᕷሙ࡛ࡢ ๓ྲྀᘬ≧ἣࢆ㞟ฟⲴ㔞ࡸᙧᡂࡉࢀࡿ༺౯᱁➼╔┠ࡋࠊᶵᲔᏛ⩦ᢏ⾡ࡢᑟධࡼ ࡿὶ㏻ࡢຠ⋡ࡘ࠸࡚⪃ᐹࡋࡓࠋ ㄽᩥࡢ๓༙㒊ศࡣࠊឡ▱┴⨾ᆅ༊ࡢ⏘ᆅᕷሙ࠾ࡅࡿ࢟ࣕ࣋ࢶྲྀᘬࡢᶵᲔᏛ⩦ ᑟධຠᯝࢆศᯒࡋࡓࠋࡑࡢ⤖ᯝࠊᶵᲔᏛ⩦ᢏ⾡ᑟධࡣࢭࣜྲྀᘬ㛫ࡢ▷⦰㈉⊩࡛ࡁ ࡿࡇࢆ♧ࡋࡓࠋᚋ༙㒊ศ࡛ࡣᮾி⏣ᕷሙ࠾ࡅࡿ㟷ᯝ≀ὶ㏻ྲྀᘬ࠾ࡅࡿᶵᲔ Ꮫ⩦ຠᯝࢆศᯒࡋࠊሗⓎಙᶵ⬟ྥୖࡁࡃ㈉⊩ࡍࡿࡇࢆ♧၀ࡋࠊ㔞㞟Ⲵࡉ ࢀࡿᾘ㈝ᆅᕷሙྲྀᘬࡢຠ⋡㈉⊩ࡍࡿࡇࢆ♧၀ࡋࡓࠋ ᇶ♏࡞ࡿᏛ⾡ㄽᩥ
1) Li,N. and S. Maezawa: Data mining efficiency in auction on the basis of random forest algorithm: A case study on source area wholesale market in Atsumi area, Aichi prefecture. Agricultural Marketing Journal of Japan. 27(2), 38-44, 2018.
2) Li,N. and S. Maezawa: Importable of machine learning technology in domestic vegetable wholesale market㸫A case study of cabbage trading in Ota market in Tokyo㸫㸬Agricultural Marketing Journal of Japan.in press
