Oiva Niemeläinen

A Novel Machine Learning Method for Estimating Biomass of Grass Swards Using a Photogrammetric Canopy Height Model, Images and Vegetation Indices Captured by a Drone

Niko Viljanen, Eija Honkavaara, Roope Näsi et al. · Agriculture · 2018 · 192 citations · Full text

Agriculture, Precision Agriculture, Remote Sensing +16

Endophytic fungi in wild and cultivated grasses in Finland

Kari Saikkonen, Jouni U. Ahlholm, Marjo Helander et al. · Ecography · 2000 · 111 citations

Life Sciences, Botany, Plant Sciences +14

Machine learning estimators for the quantity and quality of grass swards used for silage production using drone-based imaging spectrometry and photogrammetry

Raquel Alves de Oliveira, Roope Näsi, Oiva Niemeläinen et al. · Remote Sensing of Environment · 2020 · 111 citations · Full text

Agriculture, Crop Sciences, Precision Agriculture +17

Reference Measurements in Developing UAV Systems for Detecting Pests, Weeds, and Diseases

Jere Kaivosoja, Juho Hautsalo, Jaakko Heikkinen et al. · Remote Sensing · 2021 · 48 citations · Full text

Agriculture, Agricultural Engineering, Precision Agriculture +17

VISIBLE, VERY NEAR IR AND SHORT WAVE IR HYPERSPECTRAL DRONE IMAGING SYSTEM FOR AGRICULTURE AND NATURAL WATER APPLICATIONS

Heikki Saari, Anu Akujärvi, Christer Holmlund et al. · ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · 2017 · 29 citations · Full text

Agriculture, Agricultural Engineering, Crop Sciences +15