Method / resourcemodel-written summary

Predicted miss index under the optimised conditions was 2.72%.

A claim from Development, optimization and modelling of performance parameters for remote-controlled mechatronic precision planter using RSM and Hybrid PSO-ANN model · 2025

Method / resourceobservedoriginal resultsimulated

Claim · model-written summary

Predicted miss index under the optimised conditions was 2.72%.

Treatment
optimized conditionse4
Outcome
miss indexe4
Value
2.72%e4

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleComparatorSettingDirectionQualifier

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Gossypium hirsutum
Gossypium hirsutum · TaxonChriKo · CC BY-SA 3.0 · Wikimedia Commons ↗

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)

Record rev-2aedbc00f1346b7580cdaa5b5e25ab1dfe4051d93154fe9b85724bfc5239fd96 · schema claims-v0.9 · position 6 in the model’s answer