Solanum lycopersicum 297,505 claims

species · family Solanaceae · green plant · NCBI Taxonomy ↗

Common name: tomato — Also written in claims: tomato · tomatoes · tomato plants · cherry tomato · Lycopersicon esculentum · tomato seedlings — NCBI synonyms: Lycopersicon esculentum · Lycopersicon esculentum var. esculentum · Solanum esculentum · Solanum lycopersicum var. humboldtii

Listed here with its subspecies, varieties and cultivar groups: Solanum lycopersicum var. cerasiforme (6,735 claims)

1637 spellings

Solanum lycopersicum
Solanum lycopersicumKod B · CC BY-SA 4.0 · Wikimedia Commons ↗
Observationobservedoriginal resultmeasured

Claim · model-written summary

Tomato served as an intermediate host for PVY, with outcomes varying by virus strain.

Interactor
potato virus YPotato virus Yt0pathogen
Outcome
outcomes varying by virus straine0

Verbatim

t0

“two isolates of potato virus Y”

✓ located verbatim in the source · title, characters 53–83
e0

“Tomato served as an intermediate host, with outcomes varying by virus strain”

✓ located verbatim in the source · abstract, characters 958–1034

Title

Experimental evolution of the host range dynamics in two isolates of potato virus Y

Ivair J Morais; João M F Silva; Alice K Inoue-Nagata; et al. Virus Evolution 2026. doi:10.1093/ve/veag010

Other claims from this paper (9)
Observationobservedoriginal resultmeasured

Claim · model-written summary

Tomato acted as a sink host for some PVY lineages, resulting in unsuccessful infection in the next passage.

Interactor
potato virus YPotato virus Yt0pathogen
Outcome
unsuccessful infection in the next passagee1

Verbatim

t0

“two isolates of potato virus Y”

✓ located verbatim in the source · title, characters 53–83
e0

“Tomato served as an intermediate host”

✓ located verbatim in the source · abstract, characters 958–995
e1

“acted as a sink host for some lineages, resulting in unsuccessful infection in the next passage”

✓ located verbatim in the source · abstract, characters 1040–1135

Title

Experimental evolution of the host range dynamics in two isolates of potato virus Y

Ivair J Morais; João M F Silva; Alice K Inoue-Nagata; et al. Virus Evolution 2026. doi:10.1093/ve/veag010

Other claims from this paper (9)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The improved MSW-YOLOv8n-Seg model reached bounding box precision of 90.8% on the test sets for cherry tomato maturity segmentation.

Outcome
bounding box precisione0
Value
90.8%e0

Verbatim

t0

“cherry tomato”

✓ located verbatim in the source · title, characters 70–83
e0

“the bounding box precision, recall and mean average precision (mAP)@0.5 of the improved model on the test sets were 90.8%, 86.3% and 83.9% respectively”

✓ located verbatim in the source · abstract, characters 1393–1544

Title

Lightweight MSW-YOLOv8n-Seg: the instance segmentation of maturity on cherry tomato with improved YOLOv8n-Seg

Ronghui Miao; Zhiwei Li Frontiers in Plant Science 2026. doi:10.3389/fpls.2025.1731580

Other claims from this paper (8)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The improved MSW-YOLOv8n-Seg model reached recall of 86.3% on the test sets for cherry tomato maturity segmentation.

Outcome
recalle0
Value
86.3%e0

Verbatim

t0

“cherry tomato”

✓ located verbatim in the source · title, characters 70–83
e0

“the bounding box precision, recall and mean average precision (mAP)@0.5 of the improved model on the test sets were 90.8%, 86.3% and 83.9% respectively”

✓ located verbatim in the source · abstract, characters 1393–1544

Title

Lightweight MSW-YOLOv8n-Seg: the instance segmentation of maturity on cherry tomato with improved YOLOv8n-Seg

Ronghui Miao; Zhiwei Li Frontiers in Plant Science 2026. doi:10.3389/fpls.2025.1731580

Other claims from this paper (8)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The improved MSW-YOLOv8n-Seg model reached mean average precision (mAP)@0.5 of 83.9% on the test sets for cherry tomato maturity segmentation.

Outcome
mean average precision (mAP)@0.5e0
Value
83.9%e0

Verbatim

t0

“cherry tomato”

✓ located verbatim in the source · title, characters 70–83
e0

“the bounding box precision, recall and mean average precision (mAP)@0.5 of the improved model on the test sets were 90.8%, 86.3% and 83.9% respectively”

✓ located verbatim in the source · abstract, characters 1393–1544

Title

Lightweight MSW-YOLOv8n-Seg: the instance segmentation of maturity on cherry tomato with improved YOLOv8n-Seg

Ronghui Miao; Zhiwei Li Frontiers in Plant Science 2026. doi:10.3389/fpls.2025.1731580

Other claims from this paper (8)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The model size of MSW-YOLOv8n-Seg was 6.0 MB.

Outcome
model sizee0
Value
6.0 MBe0

Verbatim

t0

“cherry tomato”

✓ located verbatim in the source · title, characters 70–83
e0

“the model size was 6.0 MB”

✓ located verbatim in the source · abstract, characters 1550–1575

Title

Lightweight MSW-YOLOv8n-Seg: the instance segmentation of maturity on cherry tomato with improved YOLOv8n-Seg

Ronghui Miao; Zhiwei Li Frontiers in Plant Science 2026. doi:10.3389/fpls.2025.1731580

Other claims from this paper (8)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The improved model increased bounding box precision over YOLOv7-Mask, YOLOv8n-Seg, YOLOv9s-Seg, YOLO11n-Seg, Mask R-CNN and Mask2Former by 9.6%, 5.2%, 5.7%, 12.3%, 13.3% and 5.0% respectively.

Outcome
bounding box precisione0
Direction
increasede0
Value
9.6%, 5.2%, 5.7%, 12.3%, 13.3% and 5.0%e0
Comparator
YOLOv7-Mask, YOLOv8n-Seg, YOLOv9s-Seg, YOLO11n-Seg, Mask R-CNNe1

Verbatim

t0

“cherry tomato”

✓ located verbatim in the source · title, characters 70–83
e0

“the bounding box precision increased by 9.6%, 5.2%, 5.7%, 12.3%, 13.3% and 5.0%”

✓ located verbatim in the source · abstract, characters 1720–1799
e1

“YOLOv7-Mask, YOLOv8n-Seg, YOLOv9s-Seg, YOLO11n-Seg, Mask R-CNN”

✓ located verbatim in the source · abstract, characters 1591–1653

Title

Lightweight MSW-YOLOv8n-Seg: the instance segmentation of maturity on cherry tomato with improved YOLOv8n-Seg

Ronghui Miao; Zhiwei Li Frontiers in Plant Science 2026. doi:10.3389/fpls.2025.1731580

Other claims from this paper (8)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The improved model increased recall over YOLOv7-Mask, YOLOv8n-Seg, YOLOv9s-Seg, YOLO11n-Seg, Mask R-CNN and Mask2Former by 7.8%, 7.4%, 8.8%, 13.1%, 13.9% and 0.1% respectively.

Outcome
recalle0
Direction
increasede0
Value
7.8%, 7.4%, 8.8%, 13.1%, 13.9% and 0.1%e0
Comparator
YOLOv7-Mask, YOLOv8n-Seg, YOLOv9s-Seg, YOLO11n-Seg, Mask R-CNNe1

Verbatim

t0

“cherry tomato”

✓ located verbatim in the source · title, characters 70–83
e0

“the recall increased by 7.8%, 7.4%, 8.8%, 13.1%, 13.9% and 0.1%”

✓ located verbatim in the source · abstract, characters 1801–1864
e1

“YOLOv7-Mask, YOLOv8n-Seg, YOLOv9s-Seg, YOLO11n-Seg, Mask R-CNN”

✓ located verbatim in the source · abstract, characters 1591–1653

Title

Lightweight MSW-YOLOv8n-Seg: the instance segmentation of maturity on cherry tomato with improved YOLOv8n-Seg

Ronghui Miao; Zhiwei Li Frontiers in Plant Science 2026. doi:10.3389/fpls.2025.1731580

Other claims from this paper (8)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The improved model increased mAP@0.5 over YOLOv7-Mask, YOLOv8n-Seg, YOLOv9s-Seg, YOLO11n-Seg, Mask R-CNN and Mask2Former by 10.5%, 3.0%, 0.9%, 15.0%, 13.8% and 1.4% respectively.

Outcome
mAP@0.5e0
Direction
increasede0
Value
10.5%, 3.0%, 0.9%, 15.0%, 13.8% and 1.4%e0
Comparator
YOLOv7-Mask, YOLOv8n-Seg, YOLOv9s-Seg, YOLO11n-Seg, Mask R-CNNe1

Verbatim

t0

“cherry tomato”

✓ located verbatim in the source · title, characters 70–83
e0

“the mAP@0.5 increased by 10.5%, 3.0%, 0.9%, 15.0%, 13.8% and 1.4%”

✓ located verbatim in the source · abstract, characters 1870–1935
e1

“YOLOv7-Mask, YOLOv8n-Seg, YOLOv9s-Seg, YOLO11n-Seg, Mask R-CNN”

✓ located verbatim in the source · abstract, characters 1591–1653

Title

Lightweight MSW-YOLOv8n-Seg: the instance segmentation of maturity on cherry tomato with improved YOLOv8n-Seg

Ronghui Miao; Zhiwei Li Frontiers in Plant Science 2026. doi:10.3389/fpls.2025.1731580

Other claims from this paper (8)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

MSW-YOLOv8n-Seg had the highest inference speed, with FPS of up to 52.9.

Outcome
FPSe0
Direction
higheste0
Value
52.9e0

Verbatim

t0

“cherry tomato”

✓ located verbatim in the source · title, characters 70–83
e0

“the MSW-YOLOv8n-Seg has the highest inference speed, with FPS of up to 52.9”

✓ located verbatim in the source · abstract, characters 1979–2054

Title

Lightweight MSW-YOLOv8n-Seg: the instance segmentation of maturity on cherry tomato with improved YOLOv8n-Seg

Ronghui Miao; Zhiwei Li Frontiers in Plant Science 2026. doi:10.3389/fpls.2025.1731580

Other claims from this paper (8)