Abstract
Nitrogen (N) management is critical for corn production. On the other hand, N leaching into the groundwater creates serious environmental problems and has been linked to hypoxia problems in the Gulf of Mexico. There is a demand for sensors that can assess plant N requirements throughout the growing season to allow producers to reach their production goals, while maintaining environmental quality. This paper reports on the performance of a vision-based reflectance sensor for real-time assessment of N stress level of corn crops. Data were collected representing the changes in crop reflectance in various spectral ranges over several stages of development in the growing season. The performance of this non-contact sensor was validated under various field conditions with reference measurements from a Minolta SPAD meter and stepped N treatments.
| Original language | English (US) |
|---|---|
| Pages | 1471-1482 |
| Number of pages | 12 |
| State | Published - 2000 |
| Event | 2000 ASAE Annual International Meeting, Technical Papers: Engineering Solutions for a New Century - Milwaukee, WI., United States Duration: Jul 9 2000 → Jul 12 2000 |
Other
| Other | 2000 ASAE Annual International Meeting, Technical Papers: Engineering Solutions for a New Century |
|---|---|
| Country/Territory | United States |
| City | Milwaukee, WI. |
| Period | 7/9/00 → 7/12/00 |
Keywords
- Ambient illumination
- Multi-spectral
- Nitrogen stress
- Precision agriculture
- Real-time sensing
ASJC Scopus subject areas
- Engineering(all)