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

Estimating dry biomass and plant nitrogen concentration in pre-Alpine grasslands with low-cost UAS-borne multispectral data - a comparison of sensors, algorithms, and predictor sets

Schucknecht, Anne
Seo, Bumsuk
Krämer, Alexander
Asam, Sarah
Atzberger, Clement
Kiese, Ralf

January 2022

Grasslands are an important part of pre-Alpine and Alpine landscapes. Despite the economic value and...

From field to airborne spectroscopy – advancing spectral data analytics for accurate retrieval of perennial ryegrass biomass and feed quality

Togeiro de Alckmin, Gustavo

January 2021

Pastures are the cornerstone of grazing-based livestock production systems, allowing for sustainable...

Using Sensors and Unmanned Aircraft Systems for High-Throughput Phenotyping of Biomass in Perennial Ryegrass Breeding Trials

Wang, J
Badenhorst, P
Phelan, A
Pembleton, L
Shi, F
Cogan, N
Spangenberg, G
Smith, K

October 2019

Increasing herbage biomass is the predominant objective for pasture plant breeding programs. Three t...

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

Viljanen, Niko
Honkavaara, Eija
Näsi, Roope
Hakala, Teemu
Niemeläinen, Oiva
Kaivosoja, Jere

January 2018

-Agriculture, vol. 8, issue 5, 2018. - This article belongs to the Special Issue Remote Sensing in A...

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

May 2018

Silage is the main feed in milk and ruminant meat production in Northern Europe. Novel drone-based r...

Estimating Grass Sward Quality and Quantity Parameters Using Drone Remote Sensing with Deep Neural Networks

Karila, Kirsi
Oliveira, Raquel Alves
Ek, Johannes
Kaivosoja, Jere
Koivumäki, Niko
Korhonen, Panu
Niemeläinen, Oiva
Nyholm, Laura
Näsi, Roope
Pölönen, Ilkka
Honkavaara, Eija

June 2022

Funding Information: Funding: This research was funded by Academy of Finland ICT 2023 Smart‐HSI—“Sma...

Mapping and Monitoring of Biomass and Grazing in Pasture with an Unmanned Aerial System

Michez, Adrien
Lejeune, Philippe
Bauwens, Sébastien
Herinaina, Andriamandroso Andriamasinoro Lalaina
Blaise, Yannick
Castro Muñoz, Eloy
Lebeau, Frédéric
Bindelle, Jérôme

January 2019

peer reviewedThe tools available to farmers to manage grazed pastures and adjust forage demand to gr...

Predicting pasture biomass using a statistical model and machine learning algorithm implemented with remotely sensed imagery

De Rosa, Daniele
Basso, Bruno
Fasiolo, Matteo
Friedl, Johannes
Fulkerson, Bill
Grace, Peter R.
Rowlings, David W.

January 2021

Accurate daily estimates of pasture biomass can improve the profitability of pasture-based dairy sys...

Perennial ryegrass biomass retrieval through multispectral UAV data

Togeirode Alckmin, Gustavo
Lucieer, Arko
Rawnsley, Richard
Kooistra, Lammert

January 2022

Frequent biomass measurement is a key activity for optimal perennial ryegrass (Lolium perenne) manag...

Development of Machine Learning Models to Predict Compressed Sward Height in Walloon Pastures Based on Sentinel-1, Sentinel-2 and Meteorological Data Using Multiple Data Transformations

Nickmilder, Charles
Tedde, Anthony
Dufrasne, Isabelle
Lessire, Françoise
Tychon, Bernard
Curnel, Yannick
Bindelle, Jérôme
Soyeurt, Hélène

February 2021

peer reviewedAccurate information about the available standing biomass on pastures is critical for t...

Herbage Mass, N Concentration, and N Uptake of Temperate Grasslands Can Adequately Be Estimated from UAV-Based Image Data Using Machine Learning

Lussem, Ulrike
Bolten, Andreas
Kleppert, Ireneusz
Jasper, Joerg
Gnyp, Martin Leon
Schellberg, Juergen
Bareth, Georg

January 2022

Precise and timely information on biomass yield and nitrogen uptake in intensively managed grassland...

Comparing UAV-Based Technologies and RGB-D Reconstruction Methods for Plant Height and Biomass Monitoring on Grass Ley

Rueda Ayala, Victor P.
Peña, Jose M.
Höglind, Mats
Bengoechea Guevara, Jose Maria
Andujar, Dionisio

January 2019

Pastures are botanically diverse and difficult to characterize. Digital modeling of pasture biomass ...

Grassland Quality and Yield Estimation Using Drones in Finland - the Framework and First Results of the Drone Knowledge Project

Kaivosoja, T. Jere
Niemeläinen, Oiva
Nikander, Jussi
Saari, H.
Ojanen, H.
Nyholm, L.
Hyövelä, M.
Alhonoja, K.
Hakala, T.
Näsi, R.
Viljanen, N.
Honkavaara, E.
Pölönen, I.

January 2017

Spec3d-konferenssiposteri ; Posterin abstrakti löytyy osoitteesta: http://www.mit.jyu.fi/scoma/spec3...

The Application of an Unmanned Aerial System and Machine Learning Techniques for Red Clover-Grass Mixture Yield Estimation under Variety Performance Trials

Li, Kai-Yun
Burnside, Niall
Sampaio de Lima, Raul
Peciña, Miguel Villoslada
Sepp, Karli
Yang, Ming-Der
Raet, Janar
Vain, Ants
Selge, Are
Sepp, Kalev

May 2021

A significant trend has developed with the recent growing interest in the estimation of aboveground ...

Biomass Prediction of Heterogeneous Temperate Grasslands Using an SfM Approach Based on UAV Imaging

Esther Grüner
Thomas Astor
Michael Wachendorf

January 2019

An early and precise yield estimation in intensive managed grassland is mandatory for economic manag...

Estimating dry biomass and plant nitrogen concentration in pre-Alpine grasslands with low-cost UAS-borne multispectral data - a comparison of sensors, algorithms, and predictor sets

Schucknecht, Anne
Seo, Bumsuk
Krämer, Alexander
Asam, Sarah
Atzberger, Clement
Kiese, Ralf

January 2022

Grasslands are an important part of pre-Alpine and Alpine landscapes. Despite the economic value and...

From field to airborne spectroscopy – advancing spectral data analytics for accurate retrieval of perennial ryegrass biomass and feed quality

Togeiro de Alckmin, Gustavo

January 2021

Pastures are the cornerstone of grazing-based livestock production systems, allowing for sustainable...

Using Sensors and Unmanned Aircraft Systems for High-Throughput Phenotyping of Biomass in Perennial Ryegrass Breeding Trials

Wang, J
Badenhorst, P
Phelan, A
Pembleton, L
Shi, F
Cogan, N
Spangenberg, G
Smith, K

October 2019

Increasing herbage biomass is the predominant objective for pasture plant breeding programs. Three t...

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

Viljanen, Niko
Honkavaara, Eija
Näsi, Roope
Hakala, Teemu
Niemeläinen, Oiva
Kaivosoja, Jere

January 2018

-Agriculture, vol. 8, issue 5, 2018. - This article belongs to the Special Issue Remote Sensing in A...

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

May 2018

Silage is the main feed in milk and ruminant meat production in Northern Europe. Novel drone-based r...

Estimating Grass Sward Quality and Quantity Parameters Using Drone Remote Sensing with Deep Neural Networks

Karila, Kirsi
Oliveira, Raquel Alves
Ek, Johannes
Kaivosoja, Jere
Koivumäki, Niko
Korhonen, Panu
Niemeläinen, Oiva
Nyholm, Laura
Näsi, Roope
Pölönen, Ilkka
Honkavaara, Eija

June 2022

Funding Information: Funding: This research was funded by Academy of Finland ICT 2023 Smart‐HSI—“Sma...

Mapping and Monitoring of Biomass and Grazing in Pasture with an Unmanned Aerial System

Michez, Adrien
Lejeune, Philippe
Bauwens, Sébastien
Herinaina, Andriamandroso Andriamasinoro Lalaina
Blaise, Yannick
Castro Muñoz, Eloy
Lebeau, Frédéric
Bindelle, Jérôme

January 2019

peer reviewedThe tools available to farmers to manage grazed pastures and adjust forage demand to gr...

Predicting pasture biomass using a statistical model and machine learning algorithm implemented with remotely sensed imagery

De Rosa, Daniele
Basso, Bruno
Fasiolo, Matteo
Friedl, Johannes
Fulkerson, Bill
Grace, Peter R.
Rowlings, David W.

January 2021

Accurate daily estimates of pasture biomass can improve the profitability of pasture-based dairy sys...

Perennial ryegrass biomass retrieval through multispectral UAV data

Togeirode Alckmin, Gustavo
Lucieer, Arko
Rawnsley, Richard
Kooistra, Lammert

January 2022

Frequent biomass measurement is a key activity for optimal perennial ryegrass (Lolium perenne) manag...

Development of Machine Learning Models to Predict Compressed Sward Height in Walloon Pastures Based on Sentinel-1, Sentinel-2 and Meteorological Data Using Multiple Data Transformations

Nickmilder, Charles
Tedde, Anthony
Dufrasne, Isabelle
Lessire, Françoise
Tychon, Bernard
Curnel, Yannick
Bindelle, Jérôme
Soyeurt, Hélène

February 2021

peer reviewedAccurate information about the available standing biomass on pastures is critical for t...

Herbage Mass, N Concentration, and N Uptake of Temperate Grasslands Can Adequately Be Estimated from UAV-Based Image Data Using Machine Learning

Lussem, Ulrike
Bolten, Andreas
Kleppert, Ireneusz
Jasper, Joerg
Gnyp, Martin Leon
Schellberg, Juergen
Bareth, Georg

January 2022

Precise and timely information on biomass yield and nitrogen uptake in intensively managed grassland...

Comparing UAV-Based Technologies and RGB-D Reconstruction Methods for Plant Height and Biomass Monitoring on Grass Ley

Rueda Ayala, Victor P.
Peña, Jose M.
Höglind, Mats
Bengoechea Guevara, Jose Maria
Andujar, Dionisio

January 2019

Pastures are botanically diverse and difficult to characterize. Digital modeling of pasture biomass ...

Grassland Quality and Yield Estimation Using Drones in Finland - the Framework and First Results of the Drone Knowledge Project

Kaivosoja, T. Jere
Niemeläinen, Oiva
Nikander, Jussi
Saari, H.
Ojanen, H.
Nyholm, L.
Hyövelä, M.
Alhonoja, K.
Hakala, T.
Näsi, R.
Viljanen, N.
Honkavaara, E.
Pölönen, I.

January 2017

Spec3d-konferenssiposteri ; Posterin abstrakti löytyy osoitteesta: http://www.mit.jyu.fi/scoma/spec3...

The Application of an Unmanned Aerial System and Machine Learning Techniques for Red Clover-Grass Mixture Yield Estimation under Variety Performance Trials

Li, Kai-Yun
Burnside, Niall
Sampaio de Lima, Raul
Peciña, Miguel Villoslada
Sepp, Karli
Yang, Ming-Der
Raet, Janar
Vain, Ants
Selge, Are
Sepp, Kalev

May 2021

A significant trend has developed with the recent growing interest in the estimation of aboveground ...

Biomass Prediction of Heterogeneous Temperate Grasslands Using an SfM Approach Based on UAV Imaging

Esther Grüner
Thomas Astor
Michael Wachendorf

January 2019

An early and precise yield estimation in intensive managed grassland is mandatory for economic manag...

Estimating dry biomass and plant nitrogen concentration in pre-Alpine grasslands with low-cost UAS-borne multispectral data - a comparison of sensors, algorithms, and predictor sets

Schucknecht, Anne
Seo, Bumsuk
Krämer, Alexander
Asam, Sarah
Atzberger, Clement
Kiese, Ralf

January 2022

Grasslands are an important part of pre-Alpine and Alpine landscapes. Despite the economic value and...

From field to airborne spectroscopy – advancing spectral data analytics for accurate retrieval of perennial ryegrass biomass and feed quality

Togeiro de Alckmin, Gustavo

January 2021

Pastures are the cornerstone of grazing-based livestock production systems, allowing for sustainable...

Using Sensors and Unmanned Aircraft Systems for High-Throughput Phenotyping of Biomass in Perennial Ryegrass Breeding Trials

Wang, J
Badenhorst, P
Phelan, A
Pembleton, L
Shi, F
Cogan, N
Spangenberg, G
Smith, K

October 2019

Increasing herbage biomass is the predominant objective for pasture plant breeding programs. Three t...

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

Abstract

Extracted data

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

Abstract

Extracted data

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