@inproceedings{7ac8afca219e487f9fa8608ea19635f4,
title = "Biomass estimator for NIR image with a few additional spectral band images taken from light UAS",
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",
keywords = "Biomass estimation, estimator, Fabry-Perot, fertilizer, NIR, precision farming, spectral imager",
author = "I. P{\"o}l{\"o}nen and H. Salo and Heikki Saari and J. Kaivosoja and L. Pesonen and E. Honkavaara",
year = "2012",
doi = "10.1117/12.918551",
language = "English",
isbn = "978-0-8194-9047-6",
series = "Proceedings of SPIE",
publisher = "International Society for Optics and Photonics SPIE",
booktitle = "Proceedings of SPIE 8369",
address = "United States",
note = "Sensing for Agriculture and Food Quality and Safety IV ; Conference date: 24-04-2012 Through 25-04-2012",
}
