## 3 Results
### Recall Confidence
This was followed by'spinach', 'pepper', 'weeds', and finally'sugarcane crops' with approximately 0.439 precision ranking as the least precise. In addition, the 'banana' class achieved the highest recall, with an approximate value of 0.778. In descending order,'spinach', pepper', and'sugarcane' followed, with 'weeds' returned the lowest recall with an approximate value of 0.0588, indicating that the classifier identified few or no positive instances. Figure 7d presents the confusion matrix obtained at batch size 40 for the crop classification. Specifically, it shows that 56% of items in the \"banana\" class, 50% in the \"pepper\" class, 65% in the \"spinach\" class, 51% in the \"sugarcane\" class, and 12% in the \"weed\" class were correctly classified. Conversely, 44%, 50%, 35%, 49%, and 88% of objects belonging to the banana class, pepper class, spinach class, sugarcane class, and weed class, respectively, were classified as \"unknown.\"  
Table 4 also shows that 'banana' exhibited the highest precision at approximately 0.635, which was followed by'spinach', 'weeds', 'pepper crops', and finally'sugarcane crops' with approximately 0.304 precision ranking as the least precise. On the other hand, the'spinach' \begin{table}
\begin{tabular}{l c c c c c c} \hline \hline
**Class** & **Images** & **Instances** & **Precision** & **Recall** & **mAP50** & **mAP50-95** \\ \hline Banana Tree & 52 & 9 & 0.717 & 0.847 & 0.878 & 0.561 \\ Pepper & 52 & 10 & 0.505 & 0.510 & 0.598 & 0.157 \\ Spinach & 52 & 37 & 0.543 & 0.676 & 0.648 & 0.25 \\ Sugarcane & 52 & 37 & 0.389 & 0.655 & 0.407 & 0.206 \\ Weeds & 52 & 17 & 0.211 & 0.0588 & 0.110 & 0.048 \\ \hline \hline \end{tabular}
\end{table} 
Table 8: Details of the precision and recall obtained at batch size 80. \begin{table}
\begin{tabular}{l c c c c c c} \hline \hline
**Class** & **Images** & **Instances** & **Precision** & **Recall** & **mAP50** & **mAP50-95** \\ \hline Banana Tree & 52 & 9 & 0.965 & 0.778 & 0.860 & 0.525 \\ Pepper & 52 & 10 & 0.397 & 0.300 & 0.423 & 0.117 \\ Spinach & 52 & 37 & 0.566 & 0.493 & 0.505 & 0.221 \\ Sugarcane & 52 & 37 & 0.497 & 0.614 & 0.475 & 0.196 \\ Weeds & 52 & 17 & 0.452 & 0.101 & 0.155 & 0.0601 \\ \hline \hline \end{tabular}
\end{table} 
Table 9: Details of the precision and recall obtained at batch size 90.  
class achieved the highest recall, with an approximate value of 0.595. In descending order, 'banana', sugarcane crops', 'pepper crops', and 'weeds', with an approximate recall value of 0.118 followed, indicating that the classifier identified few positive instances of'sugarcane','spinach', 'bananas', and 'pepper crops' and the least positive instances of 'weeds'. The confusion matrix obtained at batch size 50 for the classification (see Figure 7e) shows that 56% of items in the \"banana\" class, 30% in the \"pepper\" class, 65% in the \"spinach\" class, 46% in the \"sugarcane\" class, and 12% in the \"weeds\" class were correctly classified. Conversely, 44%, 70%, 35%, 54%, and 88% of objects belonging to the banana class, pepper class, spinach class, sugarcane class, and weed class, respectively, were classified as \"unknown.\"  
Of all the classes presented in Table 5, 'banana' exhibited the highest precision at approximately 0.857, making it the most precise. This was followed by'spinach', 'pepper crops','sugarcane', and finally 'weeds' with approximately 0.292 precision ranking as the least precise. The'spinach' class also achieved the highest recall, with an approximate value of 0.703. In descending order, 'banana', pepper crops','sugarcane crops', and 'weeds' followed, the latter with an approximate recall value of 0.176, indicating that the classifier identified few or no positive instances. Figure 7f presents the confusion matrix obtained at batch size 60 for the multi-class classification. It shows that 67% of items in the \"banana\" class, 70% in the \"pepper\" class, 57% in the \"spinach\" class, 59% in the \"sugarcane\" class, and 12% in the \"weed\" class were correctly classified.