The goal of this study was to promptly map the extent of corn and soybeans early in the growing season. A classification experiment was conducted for the US Corn Belt and neighboring states, which is the most important production area of corn and soybean
The goal of this study was to promptly map the extent of corn and soybeans early in the growing season. A classification experiment was conducted for the US Corn Belt and neighboring states, which is the most important production area of corn and soybeans in the world. To improve the timel...
(2003). Remote sensing of US cornbelt areas sensitive to the El Niño-Southern Oscillation. Int. J. Remote Sensing 24: 2055–2067 ... A Wannebo,C Rosenzweig - 《International Journal of Remote Sensing》 被引量: 0发表: 2003年 El Nio–Southern Oscillation Simulated in an MRI Atmosphere...
Refresh Map 2024CornFilter Filters Find a local plot View more results (1 -10of50) Load More Results Legend: Multiple Plots NK Only Plot NK with Competitors Scott Naberhous | Schaller, IA NK Avg. - 220.5 BU/Acre Traits NK hybrids come with one of the broadest collections of trait technol...
the model predicts a large number of AIV cases in the Corn Belt of the Central US (Figure3(a)). This area is known to be a major migratory flyway for ducks and also has intensive agricultural production [53], which is a significant risk factor for AIV according to our model. If we ...
This is an older Dairy Queen, well preserved and maintained. Reminds me of the one I went to as a kid. The employees here today were happy and friendly, I enjoyed a great burger and fries. The... The absolutely best Beltbuster with cheese in the United States come from Dairy Queen's...
B. A million kernels of truth: Insights into scalable satellite maize yield mapping and yield gap analysis from an extensive ground dataset in the US Corn Belt. Remote Sens. Environ. 253, 112174 (2021). Article Google Scholar Deines, J. M., Kendall, A. D., Butler, J. J., Basso, ...
Other promising work to map maize yields in the US Corn Belt has tested a sophisticated data assimilation framework to integrate Landsat observations into crop simulations; testing on selected locations around the US Midwest found field-level accuracies of r2 = 0.41 and RMSE = 2.17 t/ha (Kang...
Determining which corn (Zea mays L.) N fertilizer rate recommendation tools best predict crop N need would be valuable for maximizing profits and minimizing environmental consequences. Simultaneous comparisons of multiple tools across various environmental conditions have been limited. The objectives of ...
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