Research on wheat leaf water content based on machine vision-Reference-Cited by-同舟云学术

Research on wheat leaf water content based on machine vision

Published:2018-03-14 Issue:S4 Volume:22 Page:9199-9208
ISSN:1386-7857
Container-title:Cluster Computing
language:en
Short-container-title:Cluster Comput

Author:

Ding Xiao-Ling,Zhao Li-Xin,Zhou Tian-Tian,Li Yi-Bin,Huang Xi-Mei,Zhao Ya-Li

Funder

Shandong Agricultural Machinery Administration Bureau of China

Chinese Academy of Meteorological Sciences

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Link

http://link.springer.com/content/pdf/10.1007/s10586-018-2112-4.pdf

Reference9 articles.

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3. Sun, R.D., Yu, H.Y., Yu, C.L.: Research on non-destructive detecting of cucumber leave water content based on image procession. J. Agric. Mech. Res. 7, 87–89 (2008)

4. Nie, G.J., Zhang, Z.F., Xia, Y.M., et al.: Fingerprint image segmentation algorithm based on mathematical morphology and mean variance. J. Nanjing Voc. Inst. Ind. Technol. 11(4), 38–40 (2011)

5. Shao, K., Xing, M., Zhong, Y., et al.: The machine recognition for population feature of wheat images based on BP neural network. J. Integr. Agric. 1(8), 885–889 (2002)

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