Abstract
A novel way to produce biomass estimation will offer
possibilities for precision farming. Fertilizer
prediction maps can be made based on accurate biomass
estimation generated by a novel biomass estimator. By
using this knowledge, a variable rate amount of
fertilizers can be applied during the growing season. The
innovation consists of light UAS, a high spatial
resolution camera, and VTT's novel spectral camera. A few
properly selected spectral wavelengths with NIR images
and point clouds extracted by automatic image matching
have been used in the estimation. The spectral
wavelengths were chosen from green, red, and NIR channels
| Original language | English |
|---|---|
| Title of host publication | Proceedings of SPIE 8369 |
| Subtitle of host publication | Sensing for Agriculture and Food Quality and Safety IV |
| Publisher | International Society for Optics and Photonics SPIE |
| ISBN (Print) | 978-0-8194-9047-6 |
| DOIs | |
| Publication status | Published - 2012 |
| MoE publication type | Not Eligible |
| Event | Sensing for Agriculture and Food Quality and Safety IV - Baltimore, MD, United States Duration: 24 Apr 2012 → 25 Apr 2012 |
Publication series
| Series | Proceedings of SPIE |
|---|---|
| Volume | 8369 |
| ISSN | 0277-786X |
Conference
| Conference | Sensing for Agriculture and Food Quality and Safety IV |
|---|---|
| Country/Territory | United States |
| City | Baltimore, MD |
| Period | 24/04/12 → 25/04/12 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 2 Zero Hunger
Keywords
- Biomass estimation
- estimator
- Fabry-Perot
- fertilizer
- NIR
- precision farming
- spectral imager
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