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 · 187 citations · Full text

Precision Agriculture, Environmental Monitoring, Engineering +19

Endophytic fungi in wild and cultivated grasses in Finland

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

Biology, Fungal Diversity, Other Grass Species +11

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 · 107 citations · Full text

Precision Agriculture, Environmental Monitoring, Engineering +18

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

Jere Kaivosoja, Juho Hautsalo, Jaakko Heikkinen et al. · Remote Sensing · 2021 · 44 citations · Full text

Uav Images, Precision Agriculture, Environmental Monitoring +22

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 · 28 citations · Full text

Precision Agriculture, Engineering, Multispectral Imaging +18