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“WCE”

1,166 matches

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Observationobservedoriginal resultpositivemeasured

Claim · model-written summary

The combined treatment gave WCE of 45.5%.

Taxon: sugarcanet0
Outcome: WCEe0
Value: 45.5%e0

Verbatim

e0
“WCE 45.5%”
✓ located verbatim in the source · abstract, characters 933–942

t0
“sugarcane”
✓ located verbatim in the source · title, characters 34–43

Title

Weed management in spring-planted sugarcane

Viveak Ballyan; Sandeep Kumar; Naresh Kumar; et al. Indian Journal of Weed Science 2015

Other claims from this paper (13)

Observation Cyperus rotundus was a major weed.
Observation Cynodon dactylon was a major weed.
Observation Sorghum halepense was a major weed.
Intervention effect All weed management practices significantly reduced weed density and dry matter against the weedy check.
Observation Three hoeings gave the lowest weed density.
Observation Three hoeings gave low weed dry matter.
Observation Three hoeings gave mean weed control efficiency of 57.0%.
Observation The glyphosate, atrazine and hoeing treatment gave weed density of 24.14 and 23.29/m2.
Observation The combined treatment gave weed dry matter of 10.99 and 10.61 g/m2.
Observation Weedy conditions caused 39.0% mean cane yield reduction.
Observation Three hoeings limited mean cane yield reduction to 8.0%.
Observation Three hoeings produced the highest cane yield at 88.8 t/ha.
Observation The glyphosate, atrazine and hoeing sequence yielded 87.9 t/ha.

Observationobservedoriginal resultpositivemeasured

Claim · model-written summary

Pendimethalin treatment yielded WCE of 85.91%.

Taxon: blackgramVigna mungot0
Outcome: WCEe0
Direction: highere0
Value: 85.91%e0

Verbatim

e0
“higher WCE (85.91%)”
✓ located verbatim in the source · abstract, characters 376–395

t0
“BLACKGRAM”
✓ located verbatim in the source · title, characters 59–68

Title

EVALUATION OF NEW HERBICIDES FOR WEED MANAGEMENT IN SUMMER BLACKGRAM [Vigna mungo (L.)Hepper ]

D. B. Khot; S. D. Munde; V. D. Khanpara; et al. Crop Research 2011

Other claims from this paper (8)

Intervention effect Pendimethalin plus hand weeding reduced weed population.
Intervention effect Pendimethalin treatment left weed dry weight at 204 kg/ha.
Observation Pendimethalin treatment yielded herbicidal efficiency index of 46.08%.
Observation Pendimethalin treatment yielded the lowest WI at 7.92%.
Observation Oxyfluorfen followed closely behind pendimethalin for weed control.
Intervention effect Pendimethalin plus hand weeding was effective for yield parameters and yield.
Intervention effect Oxyfluorfen plus hand weeding was effective for yield parameters and yield.
Observation Two hand weedings were statistically at par in these yield parameters.

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The WideResNet50-AdamW-Wce model had the highest F1-Measure for each defect compared with ResNet50-SGD, WideResNet50-SGD, WideResNet50-SGD-Wce and WideResNet50-AdamW.

Taxon: Green plumse0
Treatment: WideResNet50-AdamW-Wcee3
Outcome: F1-Measuree3
Direction: higheste3
Comparator: ResNet50-SGD, WideResNet50-SGD, WideResNet50-SGD-Wce and WideResNet50-AdamWe3

Verbatim

e0
“Green plums are a characteristic fruit resource in China”
✓ located verbatim in the source · abstract, characters 0–56

e3
“Comparing the performance of ResNet50-SGD, WideResNet50-SGD, WideResNet50-SGD-Wce and WideResNet50-AdamW network models, the F1-Measure based on WideResNet50-AdamW-Wce is the highest in each defect”
✓ located verbatim in the source · abstract, characters 1196–1393

Title

Green Plums Surface Defect Detection Based on Deep Learning Methods

Chenxin Zhou; Honghong Wang; Yang Liu; et al. IEEE Access 2022. doi:10.1109/access.2022.3206864

Other claims from this paper (7)

Method / resource The WideResNet50-AdamW-Wce model classified green plum surface defects with 98.95 % overall accuracy.
Method / resource The model classified rain spots on green plums with 100 % accuracy.
Method / resource The model classified normal green plums with 99.56 % accuracy.
Method / resource The model classified scar defects on green plums with 98.59 % accuracy.
Method / resource The model classified rot defects on green plums with 98.25 % accuracy.
Method / resource The model classified crack defects on green plums with 96.10 % accuracy.
Method / resource The detection approach evaluated 1800 green plums per hour on the assembly line.

Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Camera-guided inter-row hoeing raised inter-row WCE to 80%.

Taxon: cabbage and lettuceBrassica oleracea var. capitata Lactuca sativae1
Treatment: Camera-guided inter-row hoeinge0
Outcome: inter-row WCEe0
Direction: increasede0
Value: 80%e0

Not reportedComparator

Verbatim

e0
“Camera-guided inter-row hoeing increased inter-row WCE to 80% and intra-row WCE to 56%.”
✓ located verbatim in the source · abstract, characters 1621–1708

e1
“cabbage and lettuce”
✓ located verbatim in the source · abstract, characters 497–516

Title

Sensor-Guided Mechanical Weed Control in Transplanted Lettuce and Cabbage

Roland Gerhards; Michael Spaeth; Alexandra Heyn; et al. Journal of Crop Health 2025. doi:10.1007/s10343-025-01139-3

Other claims from this paper (14)

Observation Untreated cabbage plots had 80% weed coverage at harvest.
Observation Untreated lettuce plots had 28% weed coverage at harvest.
Association Weed coverage caused 56% yield loss in cabbage.
Association Weed coverage caused 28% yield loss in lettuce.
Method / resource The robot achieved 87% inter-row weed control efficacy.
Method / resource The robot achieved 84% intra-row weed control efficacy.
Intervention effect Broadcast herbicide reached 84% WCE in both areas.
Intervention effect Conventional hoeing had 73% inter-row WCE.
Intervention effect Conventional hoeing had 35% intra-row WCE.
Intervention effect Camera-guided inter-row hoeing raised intra-row WCE to 56%.
Intervention effect Finger weeding with conventional hoeing reached 54% intra-row WCE.
Intervention effect Finger weeding with camera-guided hoeing reached 62% intra-row WCE.
Intervention effect Camera guidance reduced crop losses by 50%, from 9.1 to 4.5%.
Intervention effect Camera guidance increased crop yield by 13% versus conventional hoeing.

Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Camera-guided inter-row hoeing raised intra-row WCE to 56%.

Taxon: cabbage and lettuceBrassica oleracea var. capitata Lactuca sativae1
Treatment: Camera-guided inter-row hoeinge0
Outcome: intra-row WCEe0
Direction: increasede0
Value: 56%e0

Not reportedComparator

Verbatim

e0
“Camera-guided inter-row hoeing increased inter-row WCE to 80% and intra-row WCE to 56%.”
✓ located verbatim in the source · abstract, characters 1621–1708

e1
“cabbage and lettuce”
✓ located verbatim in the source · abstract, characters 497–516

Title

Sensor-Guided Mechanical Weed Control in Transplanted Lettuce and Cabbage

Roland Gerhards; Michael Spaeth; Alexandra Heyn; et al. Journal of Crop Health 2025. doi:10.1007/s10343-025-01139-3

Other claims from this paper (14)

Observation Untreated cabbage plots had 80% weed coverage at harvest.
Observation Untreated lettuce plots had 28% weed coverage at harvest.
Association Weed coverage caused 56% yield loss in cabbage.
Association Weed coverage caused 28% yield loss in lettuce.
Method / resource The robot achieved 87% inter-row weed control efficacy.
Method / resource The robot achieved 84% intra-row weed control efficacy.
Intervention effect Broadcast herbicide reached 84% WCE in both areas.
Intervention effect Conventional hoeing had 73% inter-row WCE.
Intervention effect Conventional hoeing had 35% intra-row WCE.
Intervention effect Camera-guided inter-row hoeing raised inter-row WCE to 80%.
Intervention effect Finger weeding with conventional hoeing reached 54% intra-row WCE.
Intervention effect Finger weeding with camera-guided hoeing reached 62% intra-row WCE.
Intervention effect Camera guidance reduced crop losses by 50%, from 9.1 to 4.5%.
Intervention effect Camera guidance increased crop yield by 13% versus conventional hoeing.

Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Broadcast herbicide reached 84% WCE in both areas.

Taxon: cabbage and lettuceBrassica oleracea var. capitata Lactuca sativae1
Treatment: broadcast herbicide treatmente0
Outcome: WCEe0
Direction: achievede0
Value: 84%e0

Not reportedComparator

Verbatim

e0
“The broadcast herbicide treatment achieved 84% WCE for both inter-row and intra-row areas.”
✓ located verbatim in the source · abstract, characters 1445–1535

e1
“cabbage and lettuce”
✓ located verbatim in the source · abstract, characters 497–516

Title

Sensor-Guided Mechanical Weed Control in Transplanted Lettuce and Cabbage

Roland Gerhards; Michael Spaeth; Alexandra Heyn; et al. Journal of Crop Health 2025. doi:10.1007/s10343-025-01139-3

Other claims from this paper (14)

Observation Untreated cabbage plots had 80% weed coverage at harvest.
Observation Untreated lettuce plots had 28% weed coverage at harvest.
Association Weed coverage caused 56% yield loss in cabbage.
Association Weed coverage caused 28% yield loss in lettuce.
Method / resource The robot achieved 87% inter-row weed control efficacy.
Method / resource The robot achieved 84% intra-row weed control efficacy.
Intervention effect Conventional hoeing had 73% inter-row WCE.
Intervention effect Conventional hoeing had 35% intra-row WCE.
Intervention effect Camera-guided inter-row hoeing raised inter-row WCE to 80%.
Intervention effect Camera-guided inter-row hoeing raised intra-row WCE to 56%.
Intervention effect Finger weeding with conventional hoeing reached 54% intra-row WCE.
Intervention effect Finger weeding with camera-guided hoeing reached 62% intra-row WCE.
Intervention effect Camera guidance reduced crop losses by 50%, from 9.1 to 4.5%.
Intervention effect Camera guidance increased crop yield by 13% versus conventional hoeing.

Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Alachlor controlled weeds with 81.7% WCE.

Taxon: soybeanGlycine maxe0
Treatment: alachlor 3.0 kg/ha pre-emergeocee0
Interactor: weedse0weed
Outcome: controlled weedse0
Direction: controllede0
Value: 81.7% WCEe0

Not reportedComparator

Verbatim

e0
“use of alachlor 3.0 kg/ha pre-emergeoce in soybean controlled weeds (81.7% WCE)”
✓ located verbatim in the source · abstract, characters 109–188

Title

Chemical control of weeds in sovbean

Jay G. Varshney Indian Journal of Weed Science 1990

Other claims from this paper (5)

Observation Alachlor increased soybean seed yield by 68% versus manual weeding.
Observation Alachlor increased soybean seed yield by 127% versus weedy conditions.
Intervention effect Reduced rates of preplant fluchloralin were ineffective.
Intervention effect Reduced rates of preemergence alachlor were ineffective.
Intervention effect Alachlor saved NP and K through weed control.

Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Conventional hoeing had 73% inter-row WCE.

Taxon: cabbage and lettuceBrassica oleracea var. capitata Lactuca sativae1
Treatment: Conventional inter-row hoeinge0
Outcome: WCEe0
Direction: loweste0
Value: 73%e0

Not reportedComparator

Verbatim

e0
“Conventional inter-row hoeing had the lowest WCE of 73% inter-row and 35% intra-row.”
✓ located verbatim in the source · abstract, characters 1536–1620

e1
“cabbage and lettuce”
✓ located verbatim in the source · abstract, characters 497–516

Title

Sensor-Guided Mechanical Weed Control in Transplanted Lettuce and Cabbage

Roland Gerhards; Michael Spaeth; Alexandra Heyn; et al. Journal of Crop Health 2025. doi:10.1007/s10343-025-01139-3

Other claims from this paper (14)

Observation Untreated cabbage plots had 80% weed coverage at harvest.
Observation Untreated lettuce plots had 28% weed coverage at harvest.
Association Weed coverage caused 56% yield loss in cabbage.
Association Weed coverage caused 28% yield loss in lettuce.
Method / resource The robot achieved 87% inter-row weed control efficacy.
Method / resource The robot achieved 84% intra-row weed control efficacy.
Intervention effect Broadcast herbicide reached 84% WCE in both areas.
Intervention effect Conventional hoeing had 35% intra-row WCE.
Intervention effect Camera-guided inter-row hoeing raised inter-row WCE to 80%.
Intervention effect Camera-guided inter-row hoeing raised intra-row WCE to 56%.
Intervention effect Finger weeding with conventional hoeing reached 54% intra-row WCE.
Intervention effect Finger weeding with camera-guided hoeing reached 62% intra-row WCE.
Intervention effect Camera guidance reduced crop losses by 50%, from 9.1 to 4.5%.
Intervention effect Camera guidance increased crop yield by 13% versus conventional hoeing.

Intervention effectobservedoriginal resultpositivemeasured

Claim · model-written summary

Conventional hoeing had 35% intra-row WCE.

Taxon: cabbage and lettuceBrassica oleracea var. capitata Lactuca sativae1
Treatment: Conventional inter-row hoeinge0
Outcome: WCEe0
Direction: loweste0
Value: 35%e0

Not reportedComparator

Verbatim

e0
“Conventional inter-row hoeing had the lowest WCE of 73% inter-row and 35% intra-row.”
✓ located verbatim in the source · abstract, characters 1536–1620

e1
“cabbage and lettuce”
✓ located verbatim in the source · abstract, characters 497–516

Title

Sensor-Guided Mechanical Weed Control in Transplanted Lettuce and Cabbage

Roland Gerhards; Michael Spaeth; Alexandra Heyn; et al. Journal of Crop Health 2025. doi:10.1007/s10343-025-01139-3

Other claims from this paper (14)

Observation Untreated cabbage plots had 80% weed coverage at harvest.
Observation Untreated lettuce plots had 28% weed coverage at harvest.
Association Weed coverage caused 56% yield loss in cabbage.
Association Weed coverage caused 28% yield loss in lettuce.
Method / resource The robot achieved 87% inter-row weed control efficacy.
Method / resource The robot achieved 84% intra-row weed control efficacy.
Intervention effect Broadcast herbicide reached 84% WCE in both areas.
Intervention effect Conventional hoeing had 73% inter-row WCE.
Intervention effect Camera-guided inter-row hoeing raised inter-row WCE to 80%.
Intervention effect Camera-guided inter-row hoeing raised intra-row WCE to 56%.
Intervention effect Finger weeding with conventional hoeing reached 54% intra-row WCE.
Intervention effect Finger weeding with camera-guided hoeing reached 62% intra-row WCE.
Intervention effect Camera guidance reduced crop losses by 50%, from 9.1 to 4.5%.
Intervention effect Camera guidance increased crop yield by 13% versus conventional hoeing.

Observationobservedoriginal resultpositivemeasured

Claim · model-written summary

Band pendimethalin pre-emergence plus two power weeder weedings, and the weed-free treatment, gave more than 90% WCE.

Taxon: sunflowerHelianthus annuust0
Outcome: WCEe0
Value: more than 90 %e0

Verbatim

t0
“sunflower”
✓ located verbatim in the source · title, characters 74–83

e0
“These 2 treatments registered more than 90 % WCE due to lesser weed occurrence”
✓ located verbatim in the source · abstract, characters 817–895

Title

Sustainable integrated weed control strategies to reduce herbicide use in sunflower production

Selvakumar Thambiyannan; Rajendran Lingan; Sasikala Ramasamy; et al. Plant Science Today 2024. doi:10.14719/pst.4833

Other claims from this paper (3)

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“WCE”

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