Abstract
In order to detect rice false smut quickly and accurately, a lightweight false smut detection model, YOLOv8n-MBS, was proposed in this study. The model introduces the C2f_MSEC module to replace C2f in the backbone network for better extraction of key features of false smut, enhances the feature fusion capability of the neck network for different sizes of false smut by using a weighted bidirectional feature pyramid network, and designs a group-normalized shared convolution lightweight detection head to reduce the number of parameters in the model head to achieve model lightweight. The experimental results show that YOLOv8n-MBS has an average accuracy of 93.9%, a parameter count of 1.4 M, and a model size of 3.3 MB. Compared with the SSD model, the average accuracy of the model in this study increased by 4%, the number of parameters decreased by 89.8%, and the model size decreased by 86.9%; compared with the YOLO series of YOLOv7-tiny, YOLOv5n, YOLOv5s, and YOLOv8n models, the YOLOv8n-MBS model showed outstanding performance in terms of model accuracy and model performance detection; compared to the latest YOLOv9t and YOLOv10n models, the average model accuracy increased by 2.8% and 2.2%, the number of model parameters decreased by 30% and 39.1%, and the model size decreased by 29.8% and 43.1%, respectively. This method enables more accurate and lighter-weight detection of false smut, which provides the basis for intelligent management of rice blast disease in the field and thus promotes food security.
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Claims 13
Claim · model-written summary
The YOLOv8n-MBS model had an average accuracy of 93.9% for rice false smut.
- Taxon
- Rice False Smut
Ustilaginoidea virenst0 - Outcome
- average accuracye0
- Value
- 93.9%e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Rice False Smut”
e0“The experimental results show that YOLOv8n-MBS has an average accuracy of 93.9%, a parameter count of 1.4 M, and a model size of 3.3 MB”
Claim · model-written summary
The YOLOv8n-MBS model had a parameter count of 1.4 M.
- Taxon
- Rice False SmutUstilaginoidea virenst0
- Outcome
- parameter counte0
- Value
- 1.4 Me0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Rice False Smut”
e0“The experimental results show that YOLOv8n-MBS has an average accuracy of 93.9%, a parameter count of 1.4 M, and a model size of 3.3 MB”
Claim · model-written summary
The YOLOv8n-MBS model had a model size of 3.3 MB.
- Taxon
- Rice False SmutUstilaginoidea virenst0
- Outcome
- model sizee0
- Value
- 3.3 MBe0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Rice False Smut”
e0“The experimental results show that YOLOv8n-MBS has an average accuracy of 93.9%, a parameter count of 1.4 M, and a model size of 3.3 MB”
Claim · model-written summary
Compared with the SSD model, the average accuracy of YOLOv8n-MBS increased by 4%.
- Taxon
- Rice False SmutUstilaginoidea virenst0
- Outcome
- average accuracye1
- Direction
- increasede1
- Value
- 4%e1
- Comparator
- SSD modele1
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Rice False Smut”
e1“Compared with the SSD model, the average accuracy of the model in this study increased by 4%, the number of parameters decreased by 89.8%, and the model size decreased by 86.9%”
Claim · model-written summary
Compared with the SSD model, the number of parameters of YOLOv8n-MBS decreased by 89.8%.
- Taxon
- Rice False SmutUstilaginoidea virenst0
- Outcome
- number of parameterse1
- Direction
- decreasede1
- Value
- 89.8%e1
- Comparator
- SSD modele1
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Rice False Smut”
e1“Compared with the SSD model, the average accuracy of the model in this study increased by 4%, the number of parameters decreased by 89.8%, and the model size decreased by 86.9%”
Claim · model-written summary
Compared with the SSD model, the model size of YOLOv8n-MBS decreased by 86.9%.
- Taxon
- Rice False SmutUstilaginoidea virenst0
- Outcome
- model sizee1
- Direction
- decreasede1
- Value
- 86.9%e1
- Comparator
- SSD modele1
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Rice False Smut”
e1“Compared with the SSD model, the average accuracy of the model in this study increased by 4%, the number of parameters decreased by 89.8%, and the model size decreased by 86.9%”
Claim · model-written summary
Compared with YOLOv9t, the average model accuracy of YOLOv8n-MBS increased by 2.8%.
- Taxon
- Rice False SmutUstilaginoidea virenst0
- Outcome
- average model accuracye3
- Direction
- increasede3
- Value
- 2.8%e3
- Comparator
- YOLOv9te3
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Rice False Smut”
e3“compared to the latest YOLOv9t and YOLOv10n models, the average model accuracy increased by 2.8% and 2.2%, the number of model parameters decreased by 30% and 39.1%, and the model size decreased by 29.8% and 43.1%, respectively”
Claim · model-written summary
Compared with YOLOv10n, the average model accuracy of YOLOv8n-MBS increased by 2.2%.
- Taxon
- Rice False SmutUstilaginoidea virenst0
- Outcome
- average model accuracye3
- Direction
- increasede3
- Value
- 2.2%e3
- Comparator
- YOLOv10ne3
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Rice False Smut”
e3“compared to the latest YOLOv9t and YOLOv10n models, the average model accuracy increased by 2.8% and 2.2%, the number of model parameters decreased by 30% and 39.1%, and the model size decreased by 29.8% and 43.1%, respectively”
Claim · model-written summary
Compared with YOLOv9t, the number of model parameters of YOLOv8n-MBS decreased by 30%.
- Taxon
- Rice False SmutUstilaginoidea virenst0
- Outcome
- number of model parameterse3
- Direction
- decreasede3
- Value
- 30%e3
- Comparator
- YOLOv9te3
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Rice False Smut”
e3“compared to the latest YOLOv9t and YOLOv10n models, the average model accuracy increased by 2.8% and 2.2%, the number of model parameters decreased by 30% and 39.1%, and the model size decreased by 29.8% and 43.1%, respectively”
Claim · model-written summary
Compared with YOLOv10n, the number of model parameters of YOLOv8n-MBS decreased by 39.1%.
- Taxon
- Rice False SmutUstilaginoidea virenst0
- Outcome
- number of model parameterse3
- Direction
- decreasede3
- Value
- 39.1%e3
- Comparator
- YOLOv10ne3
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Rice False Smut”
e3“compared to the latest YOLOv9t and YOLOv10n models, the average model accuracy increased by 2.8% and 2.2%, the number of model parameters decreased by 30% and 39.1%, and the model size decreased by 29.8% and 43.1%, respectively”
Claim · model-written summary
Compared with YOLOv9t, the model size of YOLOv8n-MBS decreased by 29.8%.
- Taxon
- Rice False SmutUstilaginoidea virenst0
- Outcome
- model sizee3
- Direction
- decreasede3
- Value
- 29.8%e3
- Comparator
- YOLOv9te3
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Rice False Smut”
e3“compared to the latest YOLOv9t and YOLOv10n models, the average model accuracy increased by 2.8% and 2.2%, the number of model parameters decreased by 30% and 39.1%, and the model size decreased by 29.8% and 43.1%, respectively”
Claim · model-written summary
Compared with YOLOv10n, the model size of YOLOv8n-MBS decreased by 43.1%.
- Taxon
- Rice False SmutUstilaginoidea virenst0
- Outcome
- model sizee3
- Direction
- decreasede3
- Value
- 43.1%e3
- Comparator
- YOLOv10ne3
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Rice False Smut”
e3“compared to the latest YOLOv9t and YOLOv10n models, the average model accuracy increased by 2.8% and 2.2%, the number of model parameters decreased by 30% and 39.1%, and the model size decreased by 29.8% and 43.1%, respectively”
Claim · model-written summary
YOLOv8n-MBS showed outstanding performance in model accuracy and detection performance compared with the YOLO series of YOLOv7-tiny, YOLOv5n, YOLOv5s and YOLOv8n.
- Taxon
- Rice False SmutUstilaginoidea virenst0
- Outcome
- model accuracy and model performance detectione2
- Direction
- outstanding performancee2
- Comparator
- YOLO series of YOLOv7-tiny, YOLOv5n, YOLOv5s, and YOLOv8n modelse2
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Rice False Smut”
e2“compared with the YOLO series of YOLOv7-tiny, YOLOv5n, YOLOv5s, and YOLOv8n models, the YOLOv8n-MBS model showed outstanding performance in terms of model accuracy and model performance detection”