View: List Claim type Research area Organism Taxon as written Decade Paper 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 positive measured Claim · model-written summary
The artificial neural network reportedly decrease d error in predicting crop yield data.
error rate from crop yield data e0 Not reported Comparator Value
Verbatim
e0 “artificial neural network algorithm is used to predicting the agricultural data rules and powerfully decrease the error rate from crop yield data ”
✓ located verbatim in the source · abstract, characters 1311–1456 Method / resource author interpretation original result positive measured Claim · model-written summary
The optical sensor algorithm can decrease environmental contamination due to excess nitrogen fertilization.
environmental contamination e0 Verbatim
t0 “Crop ”
✓ located verbatim in the source · title, characters 35–39 e0 “Using our optical sensor‐based algorithm that employs yield prediction and N responsiveness by location (0.4 m2 resolution) can increase yield s and decrease environmental contamination due to excessive N fertilization ”
✓ located verbatim in the source · abstract, characters 1791–2008 Other claims from this paper (3) Method / resource observed original result positive measured Claim · model-written summary
AI methods decrease d fertilizer application by 20% without sacrificing output.
fertilizer application e0 without sacrificing output e0 Verbatim
e0 “a 20% decrease in fertilizer application, all without sacrificing output ”
✓ located verbatim in the source · abstract, characters 633–705 t0 “Crop Recommendation and Yield Maximization ”
✓ located verbatim in the source · title, characters 36–78 Other claims from this paper (2)
not stated 16 Method / resource observed original result negative simulated Claim · model-written summary
No nitrogen application decrease d simulated yield by 8%.
no N is applied e0 Not reported Taxon
Verbatim
e0 “8% yield decrease when no N is applied ”
✓ located verbatim in the source · abstract, characters 3036–3074 Other claims from this paper (6) Method / resource observed original result positive measured Claim · model-written summary
The variability response index quantitatively expressed yield decline from soil potassium variability.
Decrease in yield due to spatial variability of soil K e0 relatively uniform distribution of soil K e0 Not reported Taxon
Verbatim
e0 “Decrease in yield due to spatial variability of soil K was quantitatively expressed by the variability response index (VRI), i.e., the product of the variance of soil K and the second derivative of yield with respect to exchangeable K obtained under a relatively uniform distribution of soil K ”
✓ located verbatim in the source · abstract, characters 509–802 Other claims from this paper (4) Method / resource observed original result positive measured Claim · model-written summary
Cultivar yield changes under competition were generally similar in blends and paired rows.
percentage yield increase or decrease e0 blend and the paired‐rows e0 Verbatim
e0 “The percentage yield increase or decrease of each cultivar in competition generally was similar in the blend and the paired‐rows ”
✓ located verbatim in the source · abstract, characters 1113–1241 Other claims from this paper (2) Method / resource author interpretation original result simulated Claim · model-written summary
Isareg was judged appropriate for estimating grain yield decrease .
appropriate to estimate the grain yield decrease e0 Not reported Comparator Value
Verbatim
e0 “The Isareg model is appropriate to estimate the grain yield decrease ”
✓ located verbatim in the source · abstract, characters 960–1028 t0 “WATER DEFICIENCY ON THE MAIZE GRAIN YIELD DECREASE IN THE CATARINENSE FAR WEST ”
✓ located verbatim in the source · title, characters 0–78 Other claims from this paper (6) Method / resource observed original result negative projected Claim · model-written summary
The 4M model predicted a considerable future decrease in maize yield safety.
Not reported Comparator Value
Verbatim
e0 “4M predicted a considerable decrease of maize yield s as well as yield safety for the future. ”
✓ located verbatim in the source · abstract, characters 933–1025 Other claims from this paper (6) Method / resource observed original result simulated Claim · model-written summary
Isareg overestimated yield decrease when relative evapotranspiration exceeded 0.8.
overestimates its value e0 relative evapotranspiration is above 0.8 e0 Verbatim
e0 “however it overestimates its value when the relative evapotranspiration is above 0.8. ”
✓ located verbatim in the source · abstract, characters 1030–1115 t0 “WATER DEFICIENCY ON THE MAIZE GRAIN YIELD DECREASE IN THE CATARINENSE FAR WEST ”
✓ located verbatim in the source · title, characters 0–78 Other claims from this paper (6) Method / resource observed original result negative measured Claim · model-written summary
Estimates from images before harvest showed only a slight decrease in performance compared with the statistic obtained just before harvest.
slight decrease e1 the statistic obtained just before the harvest e1 Verbatim
t0 “Wheat Yield Estimates ”
✓ located verbatim in the source · title, characters 67–88 e1 “only a slight decrease in performance is observed compared to the statistic obtained just before the harvest ”
✓ located verbatim in the source · abstract, characters 1342–1450 Other claims from this paper (7) Method / resource observed original result negative measured Claim · model-written summary
The largest model uncertainty was the start of the senescent decline in canopy quantum yield .
predicting a start time for the senescent decrease of canopy quantum yield e0 most uncertainty e0 Not reported Comparator Value
Verbatim
e0 “The most uncertainty arose in predicting a start time for the senescent decrease of canopy quantum yield . ”
✓ located verbatim in the source · abstract, characters 958–1063 e1 “for wheat (Triticum aestivum L.) ”
✓ located verbatim in the source · abstract, characters 278–310 Other claims from this paper (5) Method / resource observed original result positive measured Claim · model-written summary
Combining S1 with S2 reduced RMSE by 30% relative to S2 alone.
Verbatim
e0 “a decrease of 30% in RMSE when compared to using S2 alone ”
✓ located verbatim in the source · abstract, characters 1588–1645 e1 “wheat (Triticum spp. L.) fields ”
✓ located verbatim in the source · abstract, characters 752–783 Other claims from this paper (5) Method / resource observed original result positive significant (as stated) measured Claim · model-written summary
Field testing found a significant decrease in bird numbers in targeted areas.
number of birds in the targeted areas e0 Verbatim
e0 “the result of the prototype field-testing showed a significant effect in decreasing the number of birds in the targeted areas ”
✓ located verbatim in the source · abstract, characters 1282–1407 e1 “Filipino rice farmers, resulting in losses in annual harvest yield . Farmers suffer the challenge of crop damage by birds ”
✓ located verbatim in the source · abstract, characters 45–165 Other claims from this paper (3) Method / resource observed original result measured Claim · model-written summary
Calculated dry matter yield agreed acceptably with experiments when stand closure and growth decline dates were known.
provided that the dates when a closed stand was obtained and when the growth rate started to decrease were known e0 experimental results e0 Verbatim
e0 “Calculated total DM yield s, grain yield s and grain:straw ratios were in acceptable agreement with the experimental results, provided that the dates when a closed stand was obtained and when the growth rate started to decrease were known ”
✓ located verbatim in the source · abstract, characters 351–587 t0 “rice ”
✓ located verbatim in the source · title, characters 27–31 Other claims from this paper (2) Method / resource observed original result negative measured Claim · model-written summary
P700 oxidation did not directly detect drought responsible for lower grain yield .
detected by P700 oxidation e0 could not be directly detected e0 Not reported Comparator Value
Verbatim
e0 “drought stress responsible for a decrease in grain yield s could not be directly detected by P700 oxidation in paddy-field-grown rice plants ”
✓ located verbatim in the source · abstract, characters 989–1128 Other claims from this paper (7) Method / resource observed original result negative simulated Claim · model-written summary
At the warmest Brazilian location, simulated yield losses reached 38% under 3 °C warming.
+ 3 °C temperature rise e0 Verbatim
e0 “In our warmest location in Brazil, the models simulated a yield reduction ranging from a 38% decrease under + 3 °C temperature rise to no effect on yield ”
✓ located verbatim in the source · abstract, characters 1109–1262 t0 “soybean ”
✓ located verbatim in the source · title, characters 4–11 Other claims from this paper (10) Method / resource author interpretation original result measured Claim · model-written summary
The reparameterized t-Student distribution decrease d the influence of discrepant values in soybean yield data.
influence of these points e0 data with discrepant values e0 Not reported Comparator Value
Verbatim
e0 “The reparameterized t-Student distribution is an alternative in studying data with discrepant values, showing the ability to decrease the influence of these points. ”
✓ located verbatim in the source · abstract, characters 791–955 t0 “SOYBEAN ”
✓ located verbatim in the source · title, characters 23–30 Other claims from this paper (1) Method / resource observed original result negative simulated Claim · model-written summary
Modeled UAN concentrations of 1, 3 and 12% corresponded to 5, 10 and 20% soybean yield reductions.
Verbatim
e0 “The predicted percent UAN concentration that caused a 5, 10, and 20% decrease in soybean yield was 1, 3, and 12%, respectively ”
✓ located verbatim in the source · abstract, characters 1323–1449 Other claims from this paper (6) Intervention effect Glyphosate, 2,4-D and UAN caused no soybean injury. Intervention effect Adding UAN reduced resistant Canada fleabane control, particularly at higher rates. Method / resource At four weeks, modeled UAN concentrations of 12, 17, 25 and 52% corresponded to 5, 10, 20 and 50% reductions in fleabane control. Method / resource At eight weeks, modeled UAN concentrations of 10, 13, 18 and 33% corresponded to 5, 10, 20 and 50% reductions in fleabane control. Method / resource At eight weeks, modeled UAN concentrations of 36 and 73% corresponded to 5 and 10% increases in fleabane density. Method / resource At eight weeks, modeled UAN concentrations of 2, 4, 8 and 19% corresponded to 5, 10, 20 and 50% increases in fleabane biomass. Method / resource observed original result negative projected Claim · model-written summary
EPIC projected a corn yield decrease under the coarse scenario.
coarse scenario e0 Not reported Outcome Value
Verbatim
e0 “EPIC simulated a decrease for the coarse scenario but no change for the fine scale scenario ”
✓ located verbatim in the source · abstract, characters 568–659 t0 “for wheat and corn ”
✓ located verbatim in the source · abstract, characters 61–79 Other claims from this paper (5) Method / resource observed original result negative simulated Claim · model-written summary
The SDI models indicated a linear decline in relative yield with increasing wetness.
linear decrease e0 increasing wetness (SDI values) e0 Verbatim
e0 “The SDI models indicated a linear decrease in the relative yield with increasing wetness (SDI values) ”
✓ located verbatim in the source · abstract, characters 823–924 t0 “CORN ”
✓ located verbatim in the source · title, characters 0–4 Other claims from this paper (9) Method / resource observed original result positive measured Claim · model-written summary
Adding APSIM variables reduced corn yield prediction RMSE by 7 to 20%.
adding simulation crop model variables (APSIM) as input features to ML models e0 yield prediction root mean squared error (RMSE) e0 Verbatim
e0 “adding simulation crop model variables (APSIM) as input features to ML models can decrease yield prediction root mean squared error (RMSE) from 7 to 20% ”
✓ located verbatim in the source · abstract, characters 647–799 t0 “Coupling machine learning and crop modeling improves crop yield prediction in the US Corn Belt ”
✓ located verbatim in the source · title, characters 0–94 Other claims from this paper (3) Method / resource observed original result positive measured Claim · model-written summary
Sentinel-2 correction slowed LAI decline from the milking stage.
milking stage e0 Verbatim
e0 “the LAI decrease from the milking stage was slowed down ”
✓ located verbatim in the source · abstract, characters 1071–1126 e1 “growth stage of winter wheat across three counties ”
✓ located verbatim in the source · abstract, characters 374–424 Other claims from this paper (7) Method / resource observed original result measured Claim · model-written summary
The model intercept decrease d as target grain yield decrease d.
model’s intercept e0 grain yield goal e0 Verbatim
e0 “The model’s intercept was reduced according to the decrease in the grain yield goal. ”
✓ located verbatim in the source · abstract, characters 1922–2006 t0 “winter wheat ”
✓ located verbatim in the source · title, characters 30–42 Other claims from this paper (13) Method / resource observed original result negative measured Claim · model-written summary
Prediction correlations declined for percentiles below 20% and above 85%.
percentiles in between e0 Verbatim
e0 “correlations were found to decrease for percentiles below 20 % and above 85 %, respectively, but to be relatively stable for percentiles in between ”
✓ located verbatim in the source · abstract, characters 940–1087 e1 “GY prediction of winter wheat ”
✓ located verbatim in the source · abstract, characters 822–851 Other claims from this paper (3) Method / resource observed original result positive measured Claim · model-written summary
At harvest, inflorescence and bunch detection error fell slightly to 46%.
Inflorescences and bunches e1 slight decrease e0 Verbatim
e0 “with a slight decrease at harvest (MA%E=46%) ”
✓ located verbatim in the source · abstract, characters 1502–1546 e1 “Inflorescences and bunches showed the highest MA%E ”
✓ located verbatim in the source · abstract, characters 1396–1446 t0 “Grapevine ”
✓ located verbatim in the source · title, characters 0–9 Other claims from this paper (5) Method / resource observed original result measured Claim · model-written summary
Mortality rate was an earlier indicator of decline than yield loss.
Verbatim
e0 “mortality rate and the normalised difference vegetation index (NDVI) indicators were shown to be earlier indicators of grapevine decline than yield loss ( yield achievement ratio, YAR) ”
✓ located verbatim in the source · abstract, characters 1436–1619 t0 “grapevine ”
✓ located verbatim in the source · title, characters 23–32 Other claims from this paper (9) Method / resource observed original result measured Claim · model-written summary
NDVI was an earlier indicator of decline than yield loss.
normalised difference vegetation index (NDVI) indicators e0 Verbatim
e0 “mortality rate and the normalised difference vegetation index (NDVI) indicators were shown to be earlier indicators of grapevine decline than yield loss ( yield achievement ratio, YAR) ”
✓ located verbatim in the source · abstract, characters 1436–1619 t0 “grapevine ”
✓ located verbatim in the source · title, characters 23–32 Other claims from this paper (9) Method / resource observed original result positive simulated Claim · model-written summary
OCS predicted mean cooking time reduction of 9.3%.
Verbatim
e0 “Progeny were predicted by OCS to increase in mean GY by 12.4%, decrease in mean CKT by 9.3%, and increase in mean Fe and Zn content by 6.9 and 4.6%, respectively, with low achieved coancestry of 0.032. ”
✓ located verbatim in the source · abstract, characters 1230–1431 t0 “common beans ”
✓ located verbatim in the source · title, characters 142–154 Other claims from this paper (13) Method / resource observed original result positive simulated Claim · model-written summary
OCS predicted mean grain yield gain of 12.4%.
Verbatim
e0 “Progeny were predicted by OCS to increase in mean GY by 12.4%, decrease in mean CKT by 9.3%, and increase in mean Fe and Zn content by 6.9 and 4.6%, respectively, with low achieved coancestry of 0.032. ”
✓ located verbatim in the source · abstract, characters 1230–1431 t0 “common beans ”
✓ located verbatim in the source · title, characters 142–154 Other claims from this paper (13) Method / resource observed original result positive simulated Claim · model-written summary
OCS predicted mean iron content gain of 6.9%.
mean Fe and Zn content e0 Verbatim
e0 “Progeny were predicted by OCS to increase in mean GY by 12.4%, decrease in mean CKT by 9.3%, and increase in mean Fe and Zn content by 6.9 and 4.6%, respectively, with low achieved coancestry of 0.032. ”
✓ located verbatim in the source · abstract, characters 1230–1431 t0 “common beans ”
✓ located verbatim in the source · title, characters 142–154 Other claims from this paper (13) 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.
Zea mays
Triticum aestivum
Oryza sativa
Glycine max
Zea mays subsp. mays
Vitis
Phaseolus vulgaris