Search claims · PlantClaims

Method / resourceobservedoriginal resultsimulated

Claim · model-written summary

Predicted cell fill percentage under the optimised conditions was 104.67%.

Taxon: cottonGossypium hirsutume2
Treatment: optimized conditionse4
Outcome: cell fill percentagee4
Value: 104.67%e4

Verbatim

e2
“This approach effectively optimized the precision and operational efficiency of the mechatronic precision planter for cotton crop planting”
✓ located verbatim in the source · abstract, characters 1061–1199

e4
“Under the optimized conditions, the predicted values for average seed spacing, miss index, multiple index, quality of feed index, and cell fill percentage were 44.92 cm, 2.72%, 7.05%, 90.03%, and 104.67%, respectively”
✓ located verbatim in the source · abstract, characters 1841–2058

Title

Development, optimization and modelling of performance parameters for remote-controlled mechatronic precision planter using RSM and Hybrid PSO-ANN model

Vimalsinh Vala; Rajvir Yadav; Bikram Jyoti; et al. Smart Agricultural Technology 2025. doi:10.1016/j.atech.2025.100993

Other claims from this paper (8)

Method / resource The ANN-PSO model approximated average seed spacing with a maximum deviation of 2.67 percent from the experimental values.
Method / resource A forward speed of 0.43 m/s was found to maximize average seed spacing in the optimisation.
Method / resource An inclination angle of 52 degrees was found to maximize average seed spacing in the optimisation.
Method / resource A seed hole geometry of 100 percent was found to maximize average seed spacing in the optimisation.
Method / resource Predicted average seed spacing under the optimised conditions was 44.92 cm.
Method / resource Predicted miss index under the optimised conditions was 2.72%.
Method / resource Predicted multiple index under the optimised conditions was 7.05%.
Method / resource Predicted quality of feed index under the optimised conditions was 90.03%.

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The GG-4 seed rate was 377 kg.ha-1.

Taxon: garlicAllium sativume0
Material: GG-4e0
Outcome: seed ratee0
Value: 377 kg.ha-1e0

Verbatim

e0
“The average seed spacing, miss index, multiple index, quality of feed index, seed rate and seed metering efficiency for GG-4 and GG-5 garlic varieties were 99.4 mm, 6.12 %, 7.91 %, 85.96 %, 377 kg.ha-1; and 96.35 % and 99.9 mm, 4.58 %, 6.07 %, 89.34 %, 443 kg.ha-1, and 96.75 %, respectively during field tests.”
✓ located verbatim in the source · abstract, characters 421–732

Title

Performance Evaluation of Tractor Operated Garlic (Allium sativum L.) Clove Planter

Shubham Zilpilwar; Rajvir Yadav Journal of Agricultural Engineering (India) 2021. doi:10.52151/jae2021581.1730

Other claims from this paper (19)

Method / resource The planter had 6.93 % average wheel slip.
Method / resource The planter draft was 289.83 kg.
Method / resource Average garlic seed placement depth was 42.1 mm.
Method / resource The GG-4 planter seed spacing was 99.4 mm.
Method / resource The GG-4 planter miss index was 6.12 %.
Method / resource The GG-4 multiple index was 7.91 %.
Method / resource The GG-4 quality of feed index was 85.96 %.
Method / resource The GG-4 seed metering efficiency was 96.35 %.
Method / resource The GG-5 seed spacing was 99.9 mm.
Method / resource The GG-5 miss index was 4.58 %.
Method / resource The GG-5 multiple index was 6.07 %.
Method / resource The GG-5 quality of feed index was 89.34 %.
Method / resource The GG-5 seed rate was 443 kg.ha-1.
Method / resource The GG-5 seed metering efficiency was 96.75 %.
Method / resource Effective field capacity was 0.33 ha.h-1 for GG-4.
Method / resource Field efficiency was reported as 80.33 for GG-4.
Method / resource Effective field capacity was 0.32 ha.h-1 for GG-5.
Method / resource Field efficiency was 79.02 % for GG-5.
Method / resource The developed planter cost less than available garlic planting machinery at 1677.67 per ha.

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The GG-5 seed rate was 443 kg.ha-1.

Taxon: garlicAllium sativume0
Material: GG-5e0
Outcome: seed ratee0
Value: 443 kg.ha-1e0

Verbatim

e0
“The average seed spacing, miss index, multiple index, quality of feed index, seed rate and seed metering efficiency for GG-4 and GG-5 garlic varieties were 99.4 mm, 6.12 %, 7.91 %, 85.96 %, 377 kg.ha-1; and 96.35 % and 99.9 mm, 4.58 %, 6.07 %, 89.34 %, 443 kg.ha-1, and 96.75 %, respectively during field tests.”
✓ located verbatim in the source · abstract, characters 421–732

Title

Performance Evaluation of Tractor Operated Garlic (Allium sativum L.) Clove Planter

Shubham Zilpilwar; Rajvir Yadav Journal of Agricultural Engineering (India) 2021. doi:10.52151/jae2021581.1730

Other claims from this paper (19)

Method / resource The planter had 6.93 % average wheel slip.
Method / resource The planter draft was 289.83 kg.
Method / resource Average garlic seed placement depth was 42.1 mm.
Method / resource The GG-4 planter seed spacing was 99.4 mm.
Method / resource The GG-4 planter miss index was 6.12 %.
Method / resource The GG-4 multiple index was 7.91 %.
Method / resource The GG-4 quality of feed index was 85.96 %.
Method / resource The GG-4 seed rate was 377 kg.ha-1.
Method / resource The GG-4 seed metering efficiency was 96.35 %.
Method / resource The GG-5 seed spacing was 99.9 mm.
Method / resource The GG-5 miss index was 4.58 %.
Method / resource The GG-5 multiple index was 6.07 %.
Method / resource The GG-5 quality of feed index was 89.34 %.
Method / resource The GG-5 seed metering efficiency was 96.75 %.
Method / resource Effective field capacity was 0.33 ha.h-1 for GG-4.
Method / resource Field efficiency was reported as 80.33 for GG-4.
Method / resource Effective field capacity was 0.32 ha.h-1 for GG-5.
Method / resource Field efficiency was 79.02 % for GG-5.
Method / resource The developed planter cost less than available garlic planting machinery at 1677.67 per ha.

Observationobservedoriginal resultmeasured

Claim · model-written summary

With seed disturbance structure II at 60 rpm and 2.4 kPa, the feed index quality was 91.11%.

Taxon: RiceOryza sativat0
Treatment: seed disturbance structure IIe2
Outcome: qualities of feed indexe2
Value: 91.11%e2
Qualifier: 2.4 kPae2

Verbatim

t0
“the Double-Hole Rice Vacuum Seed Meter”
✓ located verbatim in the source · title, characters 86–124

e2
“At a speed of 60 rpm and vacuum pressures of 2.0 kPa, 2.4 kPa, and 2.8 kPa, the qualities of feed index of seed disturbance structure II were 90%, 91.11%, and 89.17%, respectively, and the miss indexes were 2.96%, 1.94%, and 1.57%, respectively”
✓ located verbatim in the source · abstract, characters 1405–1649

Title

Influence of Shaped Hole and Seed Disturbance on the Precision of Bunch Planting with the Double-Hole Rice Vacuum Seed Meter

Cheng Qian; Siyu He; Wei Qin; et al. Agronomy 2024. doi:10.3390/agronomy14040768

Other claims from this paper (13)

Observationobservedoriginal resultmeasured

Claim · model-written summary

With seed disturbance structure II at 60 rpm and 2.8 kPa, the feed index quality was 89.17%.

Taxon: RiceOryza sativat0
Treatment: seed disturbance structure IIe2
Outcome: qualities of feed indexe2
Value: 89.17%e2
Qualifier: 2.8 kPae2

Verbatim

t0
“the Double-Hole Rice Vacuum Seed Meter”
✓ located verbatim in the source · title, characters 86–124

e2
“At a speed of 60 rpm and vacuum pressures of 2.0 kPa, 2.4 kPa, and 2.8 kPa, the qualities of feed index of seed disturbance structure II were 90%, 91.11%, and 89.17%, respectively, and the miss indexes were 2.96%, 1.94%, and 1.57%, respectively”
✓ located verbatim in the source · abstract, characters 1405–1649

Title

Influence of Shaped Hole and Seed Disturbance on the Precision of Bunch Planting with the Double-Hole Rice Vacuum Seed Meter

Cheng Qian; Siyu He; Wei Qin; et al. Agronomy 2024. doi:10.3390/agronomy14040768

Other claims from this paper (13)

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The metering mechanism gave optimum precision index with 84 seed holes at 3 kPa vacuum pressure for 0.83, 1.39 and 1.94 m∙s−1 forward speeds.

Taxon: soybeanGlycine maxe0
Treatment: 84 number of seed holes at 3 kPa vacuum pressuree1
Outcome: precision indexe1
Qualifier: for 0.83, 1.39 and 1.94 m∙s−1e1

Not reportedComparator

Verbatim

e0
“A planter for planting soybean seeds up to 1.94 m∙s−1 (7 km∙h−1) was designed”
✓ located verbatim in the source · abstract, characters 0–77

e1
“The optimum value of different indices i.e., miss index, multiple index, quality of feed index and precision index were observed for 84 number of seed holes at 3 kPa vacuum pressure for 0.83, 1.39 and 1.94 m∙s−1”
✓ located verbatim in the source · abstract, characters 556–767

Title

Development of a Mechanically Assisted Pneumatic Metering Mechanism for High-Speed Planting of Soybean

Manoj Kumar; Ramesh K Sahni; Kamal N Agarwal Journal of Scientific & Industrial Research 2024. doi:10.56042/jsir.v83i1.2863

Other claims from this paper (8)

Method / resource The metering mechanism gave optimum miss, multiple and quality of feed indices with 84 seed holes at 3 kPa vacuum pressure for 0.83, 1.39 and 1.94 m∙s−1 forward speeds.
Method / resource Forward speed did not significantly affect the performance indices at 5% confidence level.
Method / resource In field evaluation, the average width of operation of the planter was 2.1 m at 1.94 m∙s−1.
Method / resource In field evaluation, the plant to plant spacing of the planter was 9.7 × 10−2 m at 1.94 m∙s−1.
Method / resource In field evaluation, the depth of operation of the planter was 5.2 × 10−2 m at 1.94 m∙s−1.
Method / resource In field evaluation, the field capacity of the planter was 0.9 ha∙h−1 at 1.94 m∙s−1.
Method / resource In field evaluation, the field efficiency of the planter was 72% at 1.94 m∙s−1.
Method / resource The metering mechanism was suitable for planting soybean up to 1.94 m∙s−1 (7 km∙h−1).

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Increasing tray speed reduced the coefficient of variation to 6.83% at 65r/min.

Taxon: cornZea mays subsp. mayse1
Outcome: coefficient of variatione2
Direction: decreasede2
Value: 6.83%e2
Comparator: increasing seed metering tray speede0

Verbatim

e0
“the reseeding index, the miss-seeding index and the coefficient of variation can be effectively reduced with increasing seed metering tray speed”
✓ located verbatim in the source · abstract, characters 874–1018

e1
“corn seeds in the seeding process”
✓ located verbatim in the source · abstract, characters 510–543

e2
“the coefficient of variation decreased from 20.69 to 6.83%”
✓ located verbatim in the source · abstract, characters 1214–1272

Title

Optimized Design, Monitoring System Development and Experiment for a Long-Belt Finger-Clip Precision Corn Seed Metering Device

Han Tang; Changsu Xu; Ziming Wang; et al. Frontiers in Plant Science 2022. doi:10.3389/fpls.2022.814747

Other claims from this paper (7)

Method / resource Increasing tray speed reduced the reseeding index.
Method / resource Increasing tray speed reduced the miss-seeding index to 6.81% at 65r/min.
Method / resource At 65r/min the qualified index increased from 75.75 to 84.70%.
Method / resource Relative errors of qualified, reseeding, miss-seeding and seeding amount indices rose with tray speed.
Method / resource Sensor monitoring accuracy declined with increasing tray speed.
Method / resource Sensor monitoring accuracy declined with increasing seeding frequency.
Method / resource Sensor monitoring accuracy declined with increasing seeding speed.

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Watermelon quality of feed index reached a maximum mean of 97% under -2.5 kPa and 3 to 4 km h-1.

Taxon: watermelonCitrullus lanatust0
Treatment: -2.5 kPae0
Outcome: quality of feed indexe0
Direction: maximume0
Value: 97%e0
Qualifier: 3 to 4 km h-1e0

Not reportedComparatorSetting

Verbatim

t0
“watermelon”
✓ located after whitespace/quote normalisation · title, characters 124–134

e0
“For watermelon and cucumber seeds, the ‘quality of feed index’ were the maximum with mean of 97% and 87% under vacuum pressures of -2.5 kPa and -4.5 km h-1, respectively and forward speed of 3 to 4 km h-1; so that for cucumber seed in the mention treatment, the ‘miss index’ was lowest with mean of zero.”
✓ located verbatim in the source · abstract, characters 4212–4516

Title

Optimization of the most important operational parameters of a pneumatic seeder using real-time monitoring for Cucumber and Watermelon seeds

Z Abdolahzare; M. A Asoodar; N Kazemi; et al. DOAJ (DOAJ: Directory of Open Access Journals) 2016. doi:10.22067/jam.v6i1.37474

Other claims from this paper (16)

Method / resource At 6 to 8 km h-1, watermelon quality of feed index was lower than at 3 to 4 km h-1.
Method / resource At 6 to 8 km h-1, cucumber quality of feed index was lower than at 3 to 4 km h-1.
Method / resource At 3 to 4 km h-1, watermelon error index was lower than at 6 to 8 km h-1.
Method / resource At 3 to 4 km h-1, cucumber error index was lower than at 6 to 8 km h-1.
Method / resource Cucumber quality of feed index reached a maximum mean of 87% under the reported pressure and 3 to 4 km h-1.
Method / resource Cucumber miss index was lowest at a mean of zero in the stated treatment.
Method / resource Watermelon multiple index was highest, 6%, at 3 to 4 km h-1 and vacuum pressure -4.5.
Method / resource Cucumber multiple index exceeded watermelon across the tested speeds and pressures.
Method / resource watermelon miss index declined as pressure increased.
Method / resource watermelon miss index rose as speed increased.
Method / resource cucumber miss index declined as pressure increased.
Method / resource cucumber miss index rose as speed increased.
Method / resource In laboratory conditions, the watermelon spacing optimum was 3 to 4 km/h and -3.5 kPa with 7% error.
Method / resource In field conditions, watermelon spacing was best at -2.5 kPa and 6 to 8 km/h with 9% error.
Method / resource Cucumber spacing uniformity was best in the laboratory at 3 to 4 km.h-1 and -4.5 kPa.
Method / resource Cucumber spacing uniformity was best in the field at low speed and -2.5 kPa.

Method / resourceobservedoriginal resultsimulated

Claim · model-written summary

Predicted average seed spacing under the optimised conditions was 44.92 cm.

Taxon: cottonGossypium hirsutume2
Treatment: optimized conditionse4
Outcome: average seed spacinge4
Value: 44.92 cme4

Verbatim

e2
“This approach effectively optimized the precision and operational efficiency of the mechatronic precision planter for cotton crop planting”
✓ located verbatim in the source · abstract, characters 1061–1199

e4
“Under the optimized conditions, the predicted values for average seed spacing, miss index, multiple index, quality of feed index, and cell fill percentage were 44.92 cm, 2.72%, 7.05%, 90.03%, and 104.67%, respectively”
✓ located verbatim in the source · abstract, characters 1841–2058

Title

Development, optimization and modelling of performance parameters for remote-controlled mechatronic precision planter using RSM and Hybrid PSO-ANN model

Vimalsinh Vala; Rajvir Yadav; Bikram Jyoti; et al. Smart Agricultural Technology 2025. doi:10.1016/j.atech.2025.100993

Other claims from this paper (8)

Method / resource The ANN-PSO model approximated average seed spacing with a maximum deviation of 2.67 percent from the experimental values.
Method / resource A forward speed of 0.43 m/s was found to maximize average seed spacing in the optimisation.
Method / resource An inclination angle of 52 degrees was found to maximize average seed spacing in the optimisation.
Method / resource A seed hole geometry of 100 percent was found to maximize average seed spacing in the optimisation.
Method / resource Predicted miss index under the optimised conditions was 2.72%.
Method / resource Predicted multiple index under the optimised conditions was 7.05%.
Method / resource Predicted quality of feed index under the optimised conditions was 90.03%.
Method / resource Predicted cell fill percentage under the optimised conditions was 104.67%.

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Cucumber quality of feed index reached a maximum mean of 87% under the reported pressure and 3 to 4 km h-1.

Taxon: cucumberCucumis sativust0
Treatment: -4.5 km h-1e0
Outcome: quality of feed indexe0
Direction: maximume0
Value: 87%e0
Qualifier: 3 to 4 km h-1e0

Not reportedComparatorSetting

Verbatim

t0
“cucumber”
✓ located after whitespace/quote normalisation · title, characters 111–119

e0
“For watermelon and cucumber seeds, the ‘quality of feed index’ were the maximum with mean of 97% and 87% under vacuum pressures of -2.5 kPa and -4.5 km h-1, respectively and forward speed of 3 to 4 km h-1; so that for cucumber seed in the mention treatment, the ‘miss index’ was lowest with mean of zero.”
✓ located verbatim in the source · abstract, characters 4212–4516

Title

Optimization of the most important operational parameters of a pneumatic seeder using real-time monitoring for Cucumber and Watermelon seeds

Z Abdolahzare; M. A Asoodar; N Kazemi; et al. DOAJ (DOAJ: Directory of Open Access Journals) 2016. doi:10.22067/jam.v6i1.37474

Other claims from this paper (16)

Method / resource At 6 to 8 km h-1, watermelon quality of feed index was lower than at 3 to 4 km h-1.
Method / resource At 6 to 8 km h-1, cucumber quality of feed index was lower than at 3 to 4 km h-1.
Method / resource At 3 to 4 km h-1, watermelon error index was lower than at 6 to 8 km h-1.
Method / resource At 3 to 4 km h-1, cucumber error index was lower than at 6 to 8 km h-1.
Method / resource Watermelon quality of feed index reached a maximum mean of 97% under -2.5 kPa and 3 to 4 km h-1.
Method / resource Cucumber miss index was lowest at a mean of zero in the stated treatment.
Method / resource Watermelon multiple index was highest, 6%, at 3 to 4 km h-1 and vacuum pressure -4.5.
Method / resource Cucumber multiple index exceeded watermelon across the tested speeds and pressures.
Method / resource watermelon miss index declined as pressure increased.
Method / resource watermelon miss index rose as speed increased.
Method / resource cucumber miss index declined as pressure increased.
Method / resource cucumber miss index rose as speed increased.
Method / resource In laboratory conditions, the watermelon spacing optimum was 3 to 4 km/h and -3.5 kPa with 7% error.
Method / resource In field conditions, watermelon spacing was best at -2.5 kPa and 6 to 8 km/h with 9% error.
Method / resource Cucumber spacing uniformity was best in the laboratory at 3 to 4 km.h-1 and -4.5 kPa.
Method / resource Cucumber spacing uniformity was best in the field at low speed and -2.5 kPa.

“miss index”

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