View: List Claim type Research area Organism Taxon as written Decade Paper Method / resource observed original result positive measured Claim · model-written summary
Shape features distinguish leaf rust , stripe rust and stem rust in wheat images.
Outcomeleaf rust, stripe rust and stem rust are identified e0 Comparatorleaf rust, stripe rust and stem rust e0 Verbatim
e0 “according to the shape characteristics, leaf rust , stripe rust and stem rust are identified ”
✓ located verbatim in the source · abstract, characters 731–822 t0 “wheat leaf ”
✓ located verbatim in the source · title, characters 69–79 Other claims from this paper (2) Method / resource author interpretation original result positive simulated Claim · model-written summary
The method displays the transmission path of stripe rust at farmland scale.
Outcometransmission path of stripe rust e0 Comparatorlevel of farmland e0 Verbatim
e0 “displays the transmission path of stripe rust at the level of farmland ”
✓ located verbatim in the source · abstract, characters 602–672 e1 “method of wheat stripe rust ”
✓ located verbatim in the source · abstract, characters 40–67 Other claims from this paper (2) Method / resource observed original result measured Claim · model-written summary
The meteorological forecast model for wheat stripe rust was established.
Outcomeforecasting wheat stripe rust e0 Not reported Comparator Value
Verbatim
e0 “The model corresponding to meteorological conditions for forecasting wheat stripe rust was successfully established ”
✓ located verbatim in the source · abstract, characters 661–776 Other claims from this paper (2) Method / resource observed original result positive measured Claim · model-written summary
RBF SVM recognized wheat stripe rust with 100% test accuracy.
Outcomerecognition rates of wheat stripe rust e0 Verbatim
t0 “wheat stripe rust ”
✓ located verbatim in the source · title, characters 21–38 e0 “the recognition rates of wheat stripe rust and wheat leaf rust were both 96.67% for the training sets,and 100% for the tested sets ”
✓ located verbatim in the source · abstract, characters 803–933 Other claims from this paper (4) Method / resource observed original result basis n/a Claim · model-written summary
The dataset contains 208 stripe rust affected leaf images.
Interactorstripe rust e0 pathogen Outcomestripe rust affected leaf e0 Verbatim
t0 “Wheat Leaf Dataset ”
✓ located verbatim in the source · title, characters 0–18 e0 “The dataset contains 208 stripe rust affected leaf, 102 healthy leaf and 97 septoria affected leaf disease-infected image pictures ”
✓ located verbatim in the source · abstract, characters 1455–1585 Other claims from this paper (4) Method / resource observed original result basis n/a Claim · model-written summary
The study provides an oriented annotation dataset of field wheat stripe rust images.
Outcomeoriented annotation dataset of in-field wheat stripe rust images e0 Settingin-field wheat stripe rust images e0 Not reported Comparator Value
Verbatim
e0 “we have built an oriented annotation dataset of in-field wheat stripe rust images, called the wheat stripe rust dataset 2021 (WSRD2021) ”
✓ located verbatim in the source · abstract, characters 834–969 Other claims from this paper (3) Method / resource observed original result positive measured Claim · model-written summary
The assay detected wheat stripe rust early.
Interactorwheat stripe rust e0 pathogen Outcomeearly detection of wheat stripe rust e0 Not reported Comparator
Verbatim
e0 “an early detection of wheat stripe rust ”
✓ located verbatim in the source · abstract, characters 601–640 e1 “six wheat pathogenic fungi ”
✓ located verbatim in the source · abstract, characters 570–596 Other claims from this paper (4) Method / resource observed original result positive measured Claim · model-written summary
RBF SVM recognized wheat stripe rust with 96.67% training accuracy.
Outcomerecognition rates of wheat stripe rust e0 Verbatim
t0 “wheat stripe rust ”
✓ located verbatim in the source · title, characters 21–38 e0 “the recognition rates of wheat stripe rust and wheat leaf rust were both 96.67% for the training sets,and 100% for the tested sets ”
✓ located verbatim in the source · abstract, characters 803–933 Other claims from this paper (4) Method / resource author interpretation original result measured Claim · model-written summary
SCAR markers were useful for selecting Thinopyrum stripe rust resistance.
Outcomeselect stripe rust resistance e0 Not reported Taxon Comparator Value
Verbatim
e0 “The SCAR markers are useful to select stripe rust resistance from Th. intermedium. ”
✓ located verbatim in the source · abstract, characters 1367–1449 Other claims from this paper (7) Method / resource observed original result positive measured Claim · model-written summary
An effective method for identifying stripe rust resistance was established.
Outcomeidentification and evolution of resistance to stripe rust e0 Not reported Comparator Value
Verbatim
e0 “An effective method was established for identification and evolution of resistance to stripe rust ”
✓ located verbatim in the source · abstract, characters 1383–1480 t0 “Wheat ”
✓ located verbatim in the source · title, characters 67–72 Other claims from this paper (9) 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.