Estimating Grass Sward Quality and Quantity Parameters Using Drone Remote Sensing with Deep Neural Networks
- DOI
- 10.3390/rs14112692
- Published
- 2022-06-03
- Container
- Remote Sensing
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/rs14112692,
title = {Estimating Grass Sward Quality and Quantity Parameters Using Drone Remote Sensing with Deep Neural Networks},
author = {Kirsi Karila and Raquel Alves Oliveira and Johannes Ek and Jere Kaivosoja and Niko Koivumäki and Panu Korhonen and Oiva Niemeläinen and Laura Nyholm and Roope Näsi and Ilkka Pölönen and Eija Honkavaara},
year = {2022},
journal = {Remote Sensing},
doi = {10.3390/rs14112692},
url = {https://doi.org/10.3390/rs14112692}
}RIS
TY - JOUR TI - Estimating Grass Sward Quality and Quantity Parameters Using Drone Remote Sensing with Deep Neural Networks AU - Kirsi Karila AU - Raquel Alves Oliveira AU - Johannes Ek AU - Jere Kaivosoja AU - Niko Koivumäki AU - Panu Korhonen AU - Oiva Niemeläinen AU - Laura Nyholm AU - Roope Näsi AU - Ilkka Pölönen AU - Eija Honkavaara PY - 2022 JO - Remote Sensing DO - 10.3390/rs14112692 UR - https://doi.org/10.3390/rs14112692 ER -
APA
Karila, K., Oliveira, R. A., Ek, J., Kaivosoja, J., Koivumäki, N., Korhonen, P., Niemeläinen, O., Nyholm, L., Näsi, R., Pölönen, I., & Honkavaara, E. (2022). Estimating Grass Sward Quality and Quantity Parameters Using Drone Remote Sensing with Deep Neural Networks. Remote Sensing. https://doi.org/10.3390/rs14112692
Source records
- crossref · retrieved 2026-09-25T17:42:48.790Z