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Record W7118179792 · doi:10.23977/jeeem.2025.080121

Design and Experiment of a Small-Scale Continuous Operation Planter for Pueraria Thomsonii Benth

2025· article· W7118179792 on OpenAlexvenueno aff
Wei Luo, Qianxun Meng, Dawei Zhang, Junlin Huang, Jiajun Tang, Muhan Wu, Yu Cheng, Wei Lu

Bibliographic record

VenueJournal of Electrotechnology Electrical Engineering and Management · 2025
Typearticle
Language
FieldEngineering
TopicTree Root and Stability Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPuerariaSowingIrrigationPopulationMechanization

Abstract

fetched live from OpenAlex

To address the issues of nearly full manual operation in the current planting and harvesting processes of Pueraria thomsonii Benth, extremely low mechanization level, as well as the existing aging population and rising labor costs, a small-scale Pueraria thomsonii Benth planter has been designed. This planter is suitable for planting Pueraria thomsonii Benth in various field environments. Controlled by a single-chip microcontroller, it performs four key functions: soil-drilling, bag-opening, seedling placement, and irrigation during the planting process. This reduces manual labor, effectively lowers labor costs, and minimizes health hazards during planting. Considering the need for clean energy, the product adopts an electric motor as its primary power source, featuring the advantage of minimal environmental pollution.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.864
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.209
Teacher spread0.202 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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