Image Correction for Quantitatively Determining Harvest Time of Apple Outdoors-Reference-Cited by-同舟云学术

Image Correction for Quantitatively Determining Harvest Time of Apple Outdoors

Published:2018-03-31 Issue:1 Volume:23 Page:74-79
ISSN:1347-9725
Container-title:International Journal of the Society of Materials Engineering for Resources
language:en
Short-container-title:Int.J.Soc.Mater.Eng.Resour.

Author:

ISHII Masaki¹,KUSADA Ikumi²

Affiliation:

1. Department of Electronics and information Systems, Faculty of Systems Science and Technology, Akita Prefectural University,

2. Course of Machine and Intelligence Systems, Graduate School of Systems Science and Technology, Akita Prefectural University,

Publisher

The Society of Materials Engineering for Resources of Japan

Subject

Mechanical Engineering,General Materials Science,General Chemical Engineering

Link

https://www.jstage.jst.go.jp/article/ijsmer/23/1/23_74/_pdf

Reference11 articles.

1. [1] Ministry of Agriculture, Forestry and Fisheries. Statistics on the agricultural labor force. http://www.maff.go.jp/j/tokei/sihyo/data/08.html (Accessed 2016/12/16). (in Japanese)

2. [2] Yamamoto K.; Guo W.; Yoshioka Y.; Ninomiya S., “On plant detection of intact tomato fruits using image analysis and machine learning methods” Sensors, 14(7), 12191-12206 (2014).

3. [3] Sengupta S.; Lee WS., “Identifi cation and determination of the number of immature green citrus fruit in a canopy under different ambient light conditions” Biosystems Engineering, 117, 51-61 (2014).

4. [4] Hayashi S.; Takeshita D.; Yamamoto S.; Saito S.; Saga K.; Imou K., “Collision-free control of a strawberry-harvesting robot by recognition of immature fruits” Journal of Society of High Technology in Agriculture, 25(1), 29-37 (2013). (in Japanese)

5. [5] 5. Hashimoto A.; Suehara K.; Kameoka T., “Quantitative evaluation of surface color of tomato fruits cultivated in remote farm using digital camera images” SICE Journal of Control, Measurement, and System Integration, 5(1), 18-23 (2012).