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Cay Ngo by truonghydro is a document available to read on EtoBox.

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The document discusses the use of remote-sensing imagery to estimate corn grain yield by comparing various vegetation indices. It highlights the effectiveness of the green normalized difference vegetation index (GNDVI) in correlating with grain yield, particularly during midgrain filling. The study was conducted over two growing seasons, utilizing multispectral imagery to assess canopy variation and its impact on yield.

Author

truonghydro

Language

EN