| Title |
Functional data: case study / |
| Translation of Title |
Funkciniai duomenys: atvejo analizė. |
| Authors |
Brikas, Nedas |
| Full Text |
|
| Pages |
35 |
| Keywords [eng] |
Functional data, Precision livestock farming, Regression |
| Abstract [eng] |
This master’s thesis concentrates on functional data analysis and how it can be applied in precision livestock farming. Interestingly published papers do not use functional data analysis, in spite the fact that well equipped farms collect perfectly suitable data of this kind of data analysis approach. Functional data is more useful and supplies more information to decision maker than any other model used in precision livestock farming to this day. This type of analysis is especially well fitting in describing feed and nutrition impacts on cow productivity. To prove the feasibility and describe impacts of total mix ration changes a dataset of daily milk yield is used containing information about milk yield and fodder composition. To provide evidence for previous claims regressions with functional responses and functional predictors is calculated. Those regressions show an impact of hay and corn on milk yield and how it changes over a period functional observation. |
| Dissertation Institution |
Vilniaus universitetas. |
| Type |
Master thesis |
| Language |
English |
| Publication date |
2023 |
