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Carbon balance of forested peatlands - predictions and monitoring in changing conditionsHelsingin yliopisto2006Combining growth models and multi-date satellite imagery inventory for improved carbon prediction of tropical forestHelsingin yliopisto2015Developing harmonized methodology for Finnish national cattle GHG emissions inventory and smart farm tools for the measurement and robust models for prediction of GHG emissionsLuonnonvarakeskus2020Facilitating reliable CAZyme function prediction of fungal enzymes from expanded and poorly characterized familiesHelsingin yliopisto2021Genomics in BLUP: Continuous genomic prediction by single-step evaluation 01Luonnonvarakeskus2020Ml-Mining: Machine Learning Surrogate Modeling for Environmental Risk Assessment and Water Quality Prediction at Mining SitesGeologian tutkimuskeskus2023OatHow: How to predict techno-functionality of oatsHelsingin yliopisto2019OatHow: How to predict techno-functionality of oatsHelsingin yliopisto2019Predicting appropriate GHG mitigation strategies based on modelling variables that contribute to ruminant environmental impactLuonnonvarakeskus2017Prediction of the regional variation of forest productivity using process-based models.Helsingin yliopisto2004
Carbon balance of forested peatlands - predictions and monitoring in changing conditions
2006
Combining growth models and multi-date satellite imagery inventory for improved carbon prediction of tropical forest
2015
Developing harmonized methodology for Finnish national cattle GHG emissions inventory and smart farm tools for the measurement and robust models for prediction of GHG emissions
2020
Facilitating reliable CAZyme function prediction of fungal enzymes from expanded and poorly characterized families
2021
Genomics in BLUP: Continuous genomic prediction by single-step evaluation 01
2020
Ml-Mining: Machine Learning Surrogate Modeling for Environmental Risk Assessment and Water Quality Prediction at Mining Sites
2023
OatHow: How to predict techno-functionality of oats
2019
OatHow: How to predict techno-functionality of oats
2019
Predicting appropriate GHG mitigation strategies based on modelling variables that contribute to ruminant environmental impact
2017
Prediction of the regional variation of forest productivity using process-based models.
2004