¹Ù·Î°¡±â ¸Þ´º

¹Ù·Î°¡±â ¸Þ´º º»¹®³»¿ë ¹Ù·Î°¡±â ¸ÞÀθ޴º ¹Ù·Î°¡±â

ÁÖ¿ä¾È³»

HOME »çÀÌÆ®¸Ê

FONT SIZE

ÆùƮũ±â Å°¿ò 100% 110% 120% 130% 140% ÆùƮũ±â ÁÙÀÓ
¸Þ´ºº¸±â
Á¦¸ñ
20210327_±èÅ°æ
ÀÛ¼ºÀÏ
2021-03-27
Á¶È¸¼ö
135


Plant Species Identifcation Using Computer Vision Techniques: A Systematic Literature Review

https://link.springer.com/content/pdf/10.1007/s11831-016-9206-z.pdf
÷ºÎÆÄÀÏ:
÷ºÎÆÄÀÏÀÌ ¾ø½À´Ï´Ù.
´ÙÀ½±Û
20210327_È«Á¤Çö
/ jhhong
Chen, G., Li, S., Knibbs, L. D., Hamm, N. A., Cao, W., Li, T., ... & Guo, Y. (2018). A machine learning method to estimate PM2. 5 concentrations across China with remote sensing, meteorological and land use information.Science of the Total Environment,636, 52-60. https://doi.org/10.1016/j.sci..
ÀÌÀü±Û
20210327_±èÇö¼®_¹Î¼ö, ´Ù¿î, Å°æ
/ ±èÇö¼®
Volume increment and carbon dynamics in boreal forest when extending the rotation length towards biologically old stands Author links open overlay panelJogeir N.Stokland Show more Add to Mendeley Share Cite https://doi.org/10.1016/j.foreco.2021.119017