## 3 Results
\begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline  & & \multicolumn{2}{c}{**week\_fft**} & \multicolumn{2}{c}{**week\_std**} & \multicolumn{2}{c}{**yearstats**} \\ \cline{3-8}
**Year** & **IF** & **MEAN\_YEAR** & **SD\_YEAR** & **MEAN\_YEAR** & **SD\_YEAR** & **MEAN\_YEAR** & **SD\_YEAR** \\ \hline
2018 & Group 0 & 55.21 & 6.8 & 55.04 & 6.71 & 55.58 & 6.99 \\  & Group 1 & **59.05** & **8.64** & **59.78** & **9.01** & **57.85** & **8** \\ \hline
2019 & Group 0 & 61.41 & 7.71 & 61.17 & 7.5 & 61.86 & 7.83 \\  & Group 1 & **68.19** & **10.35** & **69.2** & **11.21** & **66.7** & **10.02** \\ \hline
2020 & Group 0 & 58.78 & 7.33 & 58.22 & 6.93 & 58.69 & 7.26 \\  & Group 1 & **62.77** & **9.01** & **64.99** & **10.58** & **63.12** & **9.29** \\ \hline
2021 & Group 0 & 57.21 & 6.76 & 56.77 & 6.53 & 57.54 & 6.85 \\  & Group 1 & **63.18** & **9.26** & **64.51** & **9.95** & **62.2** & **9.03** \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Descriptive statistics of MEAN_YEAR and SD_YEAR of predicted compressed sward height (in mm) for each isolation forest (IF). Groups with potential mown parcels are highlighted in bold. Groups with the opposite characteristics are underlined. \begin{table}
\begin{tabular}{c c c c c c} \hline \hline  & \multicolumn{4}{c}{**K-Means**} & \multicolumn{2}{c}{**Isolation Forest**} \\ \cline{2-5}
**Year** & \begin{tabular}{c} **Seemingly** \\ **Mown Parcels** \\ \end{tabular} & \begin{tabular}{c} **Seemingly** \\ **Grazed Parcels** \\ \end{tabular} & \
\begin{tabular}{c} **Seemingly** \\ **Mown Parcels** \\ \end{tabular} &
\begin{tabular}{c} **Seemingly** \\ **Grazed Parcels** \\ \end{tabular} \\ \hline
2018 & 2901 & 3086 & 5343 & 54,267 \\
2019 & 4335 & 19,880 & 5923 & 54,904 \\
2020 & 8082 & 1296 & 5610 & 56,698 \\
2021 & 750 & 2454 & 10,601 & 88,201 \\ TOTAL & 16,068 & 26,716 & 27,477 & 250,070 \\ \hline \hline \end{tabular}
\end{table} 
Table 6: Number of parcels labeled as mown or grazed simultaneously by models using the 3 different feature matrices. \begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline  & & \multicolumn{2}{c}{**week\_fft**} & \multicolumn{2}{c}{**week\_std**} & \multicolumn{2}{c}{**yearstats**} \\ \cline{3-8}
**Year** & **K-Means** & **MEAN\_YEAR** & **SD\_YEAR** & **MEAN\_YEAR** & **SD\_YEAR** & **MEAN\_YEAR** & **SD\_YEAR** \\ \hline
2018 & Cluster 0 & 53.3 & 5.92 & 56.67 & 10.58 & 57.65 & 8.12 \\ Cluster 1 & 57.03 & 7.14 & 57.92 & 7.69 & 57.26 & 6.8 \\ Cluster 2 & 55.43 & 7.18 & 53.35 & 6.86 & **60.68** & **9.38** \\ Cluster 3 & 54.73 & 5.96 & 54.73 & 5.96 & 54.73 & 5.96 \\ Cluster 4 & **59.09** & **8.86** & **59.09** & **8.86** & 59.09 & 8.86 \\ \hline
2019 & Cluster 0 & 61.47 & 7.35 & 65.18 & 9.08 & 57.93 & 6.3 \\ Cluster 1 & 58.18 & 6.39 & 62.82 & 7.57 & 58.61 & 6.37 \\ Cluster 2 & **62.84** & **8.29** & **69.54** & **11.38** & **64.74** & **9.17** \\ Cluster 3 & **62.75** & **8.25** & 62.75 & 8.25 & 62.75 & 8.25 \\ Cluster 4 & **62.87** & **8.27** & 62.87 & 8.27 & 62.87 & 8.27 \\ \hline
2020 & Cluster 0 & 53.28 & 5.68 & **63.38** & **9.56** & 55.48 & 5.67 \\ Cluster 1 & **63.61** & **9.47** & 55.6 & 5.93 & **62.73** & **8.12** \\ Cluster 2 & 57.54 & 6.95 & 61.24 & 7.37 & **61.33** & **8.75** \\ Cluster 3 & 59.76 & 7.73 & 59.76 & 7.73 & 59.76 & 7.73 \\ Cluster 4 & 59.74 & 7.71 & 59.74 & 7.71 & 59.74 & 7.71 \\ \hline
2021 & Cluster 0 & 56.3 & 6.28 & **54** & 6.03 & 59.02 & 6.61 \\ Cluster 1 & **62.71** & **8.72** & **58.76** & **10.8** & **64.81** & **10.32** \\ Cluster 2 & 59.87 & 7.7 & 58.93 & 6.75 & 62.82 & 8.18 \\ Cluster 3 & 58.7 & 7.34 & 58.7 & 7.34 & 58.7 & 7.34 \\ Cluster 4 & 58.66 & 7.36 & 58.66 & 7.36 & 58.66 & 7.36 \\ \hline \hline \end{tabular}
\end{table} 
Table 5: Descriptive statistics of MEAN_YEAR and SD_YEAR of predicted compressed sward height (in mm) for each k-means clustering. Clusters with potentially mown parcels are highlighted in bold. Clusters with the opposite characteristics are underlined.