Theme 33: Technology Transfer and Education
Description
Optimising the harvesting time of grass in primary growth is difficult under Finnish climatic conditions, because the digestibility of grass decreases on average by 0.5 percentage units daily. We constructed a model based on cumulative temperature and geographical location which estimates the digestibility of grass. This model is used to produce estimates utilising real time weather information. The estimates are presented as a map, which is revised daily. Farmers have free access to the maps via Internet.
Citation
Rinne, Marketta; Nousiainen, J.; Mattila, I.; Nikander, H.; and Huhtanen, P., "Digestibility Estimates Based on a Grass Growth Model Are Distributed via Internet to Finnish Farmers" (2022). IGC Proceedings (1993-2023). 4.
https://uknowledge.uky.edu/igc/19/33/4
Included in
Digestibility Estimates Based on a Grass Growth Model Are Distributed via Internet to Finnish Farmers
Optimising the harvesting time of grass in primary growth is difficult under Finnish climatic conditions, because the digestibility of grass decreases on average by 0.5 percentage units daily. We constructed a model based on cumulative temperature and geographical location which estimates the digestibility of grass. This model is used to produce estimates utilising real time weather information. The estimates are presented as a map, which is revised daily. Farmers have free access to the maps via Internet.