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pro vyhledávání: '"M. G. Ziliani"'
Autor:
M. G. Ziliani, M. U. Altaf, B. Aragon, R. Houborg, T. E. Franz, Y. Lu, J. Sheffield, I. Hoteit, M. F. McCabe
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B3-2022, Pp 1045-1052 (2022)
Predicting within-field crop yield early in the season can help address crop production challenges to improve farmers’ economic return. While yield prediction with remote sensing has been a research aim for years, it is only recently that observati
Externí odkaz:
https://doaj.org/article/e0095bc535d44079a0fc197a0e943ac6