View: List Claim type Research area Organism Taxon as written Decade Paper Taxon: tomato ✕
Taxon groups are the verbatim names found in the abstracts (case-insensitive), not normalised: maize, corn and Zea mays are separate groups here. The Organism view merges them through NCBI Taxonomy.
Method / resource observed original result negative measured Claim · model-written summary
Precision decrease d slightly in later correction iterations because of false positives.
false positives e1 Not reported Value
Verbatim
e1 “a slight decrease in Precision was observed in later iterations due to false positives ”
✓ located verbatim in the source · abstract, characters 1350–1436 t0 “Tomato Detection ”
✓ located verbatim in the source · title, characters 51–67 Other claims from this paper (3) Method / resource observed original result measured Claim · model-written summary
Decrease d fruit growth and sap-flow readings mark the need for the next watering.
need for the next watering e0 Not reported Value
Verbatim
e0 “A decrease in their in dications marks the need for the next watering ”
✓ located verbatim in the source · abstract, characters 1079–1147 t0 “tomato ”
✓ located verbatim in the source · title, characters 67–73 Other claims from this paper (3) Method / resource observed original result positive measured Claim · model-written summary
The proposed model reduced the number of FLOPs by 7.94% compared with the original Yolov11n.
original version of Yolov11n e2 Verbatim
e1 “improve the detection of tomato leaves in images of complex outdoor environments ”
✓ located verbatim in the source · abstract, characters 700–780 e2 “led to a 26.75% decrease in the number of parameters and a 7.94% decrease in the number of FLOPs compared with the original version of Yolov11n ”
✓ located verbatim in the source · abstract, characters 911–1054 Other claims from this paper (2) Method / resource observed original result positive measured Claim · model-written summary
The system reduced fertilizer consumption by 58.82%.
fuzzy logic-based algorithm e2 fertilizer consumption e0 Verbatim
e0 “58.82% decrease in fertilizer consumption ”
✓ located verbatim in the source · abstract, characters 534–575 e1 “tomato yield ”
✓ located verbatim in the source · abstract, characters 601–613 e2 “fuzzy logic-based algorithm to optimize bio-fertigation ”
✓ located verbatim in the source · abstract, characters 173–228 Other claims from this paper (4) Method / resource observed original result positive measured Claim · model-written summary
The proposed model reduced the number of parameters by 26.75% compared with the original Yolov11n.
number of parameters e2 original version of Yolov11n e2 complex outdoor environments e1 Verbatim
e1 “improve the detection of tomato leaves in images of complex outdoor environments ”
✓ located verbatim in the source · abstract, characters 700–780 e2 “led to a 26.75% decrease in the number of parameters and a 7.94% decrease in the number of FLOPs compared with the original version of Yolov11n ”
✓ located verbatim in the source · abstract, characters 911–1054 Other claims from this paper (2) Method / resource observed original result positive measured Claim · model-written summary
In tegrated production reduced fungicide spray count by 23-28%.
number of fungicide sprays e0 Verbatim
e0 “There was a decrease on the fungicide application in the IP, not only in the number of fungicide sprays (23-28%) ”
✓ located verbatim in the source · abstract, characters 656–768 t0 “for tomato late blight ”
✓ located verbatim in the source · title, characters 33–55 Other claims from this paper (7) Method / resource observed original result mixed measured Claim · model-written summary
A selected model lowered RSME by 13% while raising computation time by 7.5% versus an original model.
7.5% increase in model computation time e0 one of the original models e0 Verbatim
e0 “With the model set used, a 13% decrease in RSME was obtained by allowing a 7.5% in crease in model computation time compared to one of the original models. ”
✓ located verbatim in the source · abstract, characters 1183–1337 t0 “Tomato ”
✓ located verbatim in the source · title, characters 41–47 Other claims from this paper (1) Method / resource author interpretation original result positive measured Claim · model-written summary
The authors identify decrease d fluorescein fluorescence as a sensitive parameter for Na+ in duced loss of protoplast viability.
good and sensitive parameter for the measurement of Na+-induced decrease in cell viability and cell death e0 decreases in fluorescein fluorescence e0 Verbatim
e0 “decrease s in fluorescein fluorescence is a good and sensitive parameter for the measurement of Na+- in duced decrease in cell viability and cell death in protoplast suspensions ”
✓ located verbatim in the source · abstract, characters 830–1004 e1 “tomato leaf protoplast ”
✓ located verbatim in the source · abstract, characters 790–812 Other claims from this paper (4) Method / resource observed original result positive measured Claim · model-written summary
In tegrated production reduced active in gredient use by 34.5-60.9%.
amount of active ingredient e0 Verbatim
e0 “There was a decrease on the fungicide application in the IP, not only in the number of fungicide sprays (23-28%) but also in the amount of active in gredient (34.5-60.9%). ”
✓ located verbatim in the source · abstract, characters 656–826 t0 “for tomato late blight ”
✓ located verbatim in the source · title, characters 33–55 Other claims from this paper (7) Method / resource observed original result measured Claim · model-written summary
Quantization lowered mean Average Precision by 2.8% compared with standard YOLOv5.
quantization method e0 mean Average Precision (mAP) e0 standard YOLOv5 model e0 Verbatim
e0 “Our quantization method reduces the bitwidth of the entire YOLO network to 8 bits, resulting in only a 2.8% decrease in mean Average Precision (mAP), a 50% reduction in model size, and an in crease of 4.7 FPS compared to the standard YOLOv5 model ”
✓ located verbatim in the source · abstract, characters 846–1091 t0 “Plant Leaf Disease Detection ”
✓ located verbatim in the source · title, characters 46–74 e1 “tomato and pepper leaf diseases ”
✓ located verbatim in the source · abstract, characters 813–844 Other claims from this paper (2) Lexical search (BM25). All words must match; if nothing does, any word. Organism names also match every spelling of the same organism. No semantic search yet.
Solanum lycopersicumt0