Crop load and production estimation is a crucial aspect for modern farms during the whole growing period. This work presents a fruit recognition and tracking system to allow precise counting of fruits in real-time while traversing the orchard doing the appropriate farming tasks. A field test campaign was performed on Fuji apples to assess the effectiveness of a proposed solution for counting apples at near harvest growth stage. The results showed that the solution was able to correctly keep the counting error under 10%. Future improvements will be focused on multiple objects tracking performances and object detection model refinements to improve the solution effectiveness.
Mengoli, D., Bortolotti, G., Omodei, N., Rossi, S., Piani, M., Bucciarelli, A., et al. (2023). 57. An online fruit counting application in apple orchards [10.3920/978-90-8686-947-3_57].
57. An online fruit counting application in apple orchards
Mengoli, D.
Primo
;Bortolotti, G.;Omodei, N.;Rossi, S.;Piani, M.;Manfrini, L.Ultimo
2023
Abstract
Crop load and production estimation is a crucial aspect for modern farms during the whole growing period. This work presents a fruit recognition and tracking system to allow precise counting of fruits in real-time while traversing the orchard doing the appropriate farming tasks. A field test campaign was performed on Fuji apples to assess the effectiveness of a proposed solution for counting apples at near harvest growth stage. The results showed that the solution was able to correctly keep the counting error under 10%. Future improvements will be focused on multiple objects tracking performances and object detection model refinements to improve the solution effectiveness.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
