A4 Article in conference proceedings
A case study of a precision fertilizer application task generation for wheat based on classified hyperspectral data from UAV combined with farm history data (2013)


Kaivosoja, J., Pesonen, L., Kleemola, J., Pölönen, I., Salo, H., Honkavaara, E., Saari, H., Mäkynen, J., & Rajala, A. (2013). A case study of a precision fertilizer application task generation for wheat based on classified hyperspectral data from UAV combined with farm history data. In C. Neale, & A. Maltese (Eds.), Remote Sensing for Agriculture, Ecosystems, and Hydrology XV (pp. 88870H). SPIE - International Society for Optical Engineering. SPIE Conference Proceedings, 8887. https://doi.org/10.1117/12.2029165


JYU authors or editors


Publication details

All authors or editors: Kaivosoja, Jere; Pesonen, Liisa; Kleemola, Jouko; Pölönen, Ilkka; Salo, Heikki; Honkavaara, Eija; Saari, Heikki; Mäkynen, Jussi; Rajala, Ari

Parent publication: Remote Sensing for Agriculture, Ecosystems, and Hydrology XV

Parent publication editors: Neale, Christopher; Maltese, Antonino

ISBN: 978-0-8194-9756-7

Journal or series: SPIE Conference Proceedings

ISSN: 0277-786X

eISSN: 1996-756X

Publication year: 2013

Number in series: 8887

Pages range: 88870H

Publisher: SPIE - International Society for Optical Engineering

Publication country: Netherlands

Publication language: English

DOI: https://doi.org/10.1117/12.2029165

Publication open access: Not open

Publication channel open access:


Keywords: fertilisation of plants; agricultural machinery; wheat; precision farming

Free keywords: Fertilizer; hyperspectral; UAV; VRA; task; farm machinery


Contributing organizations


Ministry reporting: Yes

Reporting Year: 2013

JUFO rating: 1


Last updated on 2021-08-06 at 21:42