Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Katja Alhonoja"'
Autor:
Roope Näsi, Niko Viljanen, Jere Kaivosoja, Katja Alhonoja, Teemu Hakala, Lauri Markelin, Eija Honkavaara
Publikováno v:
Remote Sensing, Vol 10, Iss 7, p 1082 (2018)
The timely estimation of crop biomass and nitrogen content is a crucial step in various tasks in precision agriculture, for example in fertilization optimization. Remote sensing using drones and aircrafts offers a feasible tool to carry out this task
Externí odkaz:
https://doaj.org/article/b0b68a11997841928d69d2b38ec5232f
Autor:
Niko Viljanen, Jere Kaivosoja, Laura Nyholm, Teemu Hakala, Somayeh Nezami, Lauri Markelin, Roope Näsi, Lauri Jauhiainen, Oiva Niemeläinen, Raquel Alves de Oliveira, Katja Alhonoja, Eija Honkavaara
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W13, Pp 489-494 (2019)
The information on the grass quantity and quality is needed for several times in a growing season for making optimal decisions about the harvesting time and the fertiliser rate, especially in northern countries, where grass swards quality declines an
Autor:
Lauri Jauhiainen, Somayeh Nezami, Raquel Alves de Oliveira, Lauri Markelin, Niko Viljanen, Roope Näsi, Katja Alhonoja, Teemu Hakala, Laura Nyholm, Oiva Niemeläinen, Eija Honkavaara, Jere Kaivosoja
Publikováno v:
Remote Sensing of Environment. 246:111830
Drones offer entirely new prospects for precision agriculture. This study investigates the utilisation of drone remote sensing for managing and monitoring silage grass swards. In northern countries, grass swards are fertilised and harvested three tim
Autor:
Lauri Markelin, Niko Viljanen, Roope Näsi, Eija Honkavaara, Teemu Hakala, Jere Kaivosoja, Katja Alhonoja
Publikováno v:
Remote Sensing; Volume 10; Issue 7; Pages: 1082
Remote Sensing, Vol 10, Iss 7, p 1082 (2018)
Remote Sensing, Vol 10, Iss 7, p 1082 (2018)
The timely estimation of crop biomass and nitrogen content is a crucial step in various tasks in precision agriculture, for example in fertilization optimization. Remote sensing using drones and aircrafts offers a feasible tool to carry out this task