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- W2500148449 abstract "Remote sensing provides an opportunity to collect information about crop growth during the growing season. The ability to relate remotely sensed data to physical anomalies of the growing crop or soil will permit producers an opportunity to correct problems in a timely manner. Relationships between remotely sensed data and field anomalies are very limited. In this study, three production fields (16 to 24 ha), two in corn and one in soybeans, were used to compare ground and remotely sensed data. These data were collected four times during the 1997-growing season by low-altitude fixed-wing aircraft with instrumentation having a resolution of one meter. The wavelengths of the remotely sensed data were red, blue, green, infrared and near-infrared. Geospatial crop and soil data were collected on the ground throughout the growing season. At the times of remote sensing, intensive ground soil and crop data were collected. Some of the anomalies observed in these production fields were caused by white mold infestation in soybeans, weed infestations, wheel traffic, planter and sprayer malfunctions, tillage, topography and soil morphology. The results of these anomalies were observed in the remotely sensed data." @default.
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- W2500148449 date "2015-11-02" @default.
- W2500148449 modified "2023-09-26" @default.
- W2500148449 title "Remote Sensing Research in Wisconsin Soybean and Corn Production Fields" @default.
- W2500148449 cites W1966035399 @default.
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- W2500148449 doi "https://doi.org/10.2134/1999.precisionagproc4.c45b" @default.
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