Design and experiment of a bionic vibratory subsoiler for banana fields in southern China
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract: Subsoiling is essential in the tillage of banana planting, as banana plants have a fairly sturdy pseudostem and wide row spacing while soil tends to be compacted. In this study, a bionic vibrating subsoiler for banana fields was developed, verified, and evaluated. The vibrator was designed based on crank-rocker mechanism while the bionics design was used for subsoiler development. The forces on the susboiler were analyzed to verify the strength of the subsoiler tine. To test the performance of the subsoiler, field tests were conducted to measure the draft force and fuel consumption. There was approximately 14% reduction in the draft force and 22% increase in the fuel consumption in vibrating mode compared with that in non-vibrating mode. In conclusion, the study results could be applied in China’s tropical agricultural regions. Keywords: vibratory subsoiler, tillage, simulation, bionics, banana field DOI: 10.3965/j.ijabe.20160906.1923 Citation: Zhang X R, Wang C, Chen Z H, Zeng Z W. Design and experiment of a bionic vibratory subsoiler for banana fields in southern China. Int J Agric & Biol Eng, 2016; 9(6): 75-83.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it