Presentation 2021-03-01
Studies on Prediction of Harvest Time of Tomato
Daichi Minagawa, Jeyeon Kim,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In recent years, the improving productivity in the agricultural field is one of the important issues to be solved. To solve such problems, this paper examines the prediction of tomato harvest time to improve the productivity at the cultivation of tomato. Specifically, we examined three types of prediction methods (voting, ratio of red brightness values, difference between red brightness values and green brightness values) and compared the results of prediction of the proposed method with those of tomato cultivation experts. When the time to harvest the detected tomatoes is the current day and one day later, the voting and ratio of red brightness values showed good results. However, when the time to harvest the detected tomatoes is the three days later or four days later, the average of difference presented good results. From these results, the important knowledge in predicting the harvest time of tomatoes was obtained.
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Keyword(in English)
Paper # SeMI2020-61
Date of Issue 2021-02-22 (SeMI)

Conference Information
Committee SeMI / IPSJ-MBL / IPSJ-UBI
Conference Date 2021/3/1(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Mobile Computing, Ubiquitous Computing, etc.
Chair Susumu Ishihara(Shizuoka Univ.)
Vice Chair Kazuya Monden(Hitachi) / Koji Yamamoto(Kyoto Univ.)
Secretary Kazuya Monden(Kyoto Univ.) / Koji Yamamoto(Cyber Univ.) / (Hitachi) / (Waseda Univ.)
Assistant Yuki Katsumata(NTT DOCOMO) / Yu Nakayama(Tokyo Univ. of Agri. and Tech.) / Akira Uchiyama(Osaka Univ.)

Paper Information
Registration To Technical Committee on Sensor Network and Mobile Intelligence / Special Interest Group on Mobile Computing and Pervasive Systems / Special Interest Group on Ubiquitous Computing System
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Studies on Prediction of Harvest Time of Tomato
Sub Title (in English)
Keyword(1)
Keyword(2)
Keyword(3)
Keyword(4)
1st Author's Name Daichi Minagawa
1st Author's Affiliation National Institute of Technology, Tsuruoka College(NITTC)
2nd Author's Name Jeyeon Kim
2nd Author's Affiliation National Institute of Technology, Tsuruoka College(NITTC)
Date 2021-03-01
Paper # SeMI2020-61
Volume (vol) vol.120
Number (no) SeMI-382
Page pp.pp.19-22(SeMI),
#Pages 4
Date of Issue 2021-02-22 (SeMI)