Farmers Attitude towards Use of Trichocompost
Bibliographic record
Abstract
This purpose of this study was to assess the farmers attitude towards Trichocompost use, to determine and describe the socioeconomic characteristics of the tricho-compost farmers and identify the problems being confronted towards using Trichoderma by the farmers. Data were collected from 66 randomly selected farmers from Kamarpara, Chupinagar Union, Shajahanpur Upazilla and the Vasubihar, Juanpur, Katabaria, Maria, Chalapara, Charpara, Chakpahari, Mirpara, Panai, Birkedar, Ghashuria, Mirzapur, Adamzamur, Chomorpathalia, Khidiehashra, Chowkibari, Chalkjaphu, Majbari project site of water saving project in Bogura district in Bangladesh during January to March 2020. The findings reveal that, majority of the respondents (59 percent) were middle age category and 39 percent respondent were having secondary level education. Most of the respondents were under small family category (45 percent) and majority (64 percent) of them had a small farm size and 78.8 percent of the respondents had high agricultural knowledge. A quarter of them (24 percent) were found into medium income group and 29 percent farmers received short training and two-third majority of the farmers (68 percent) had high knowledge on Trichoderma. As far as their attitude towards tricho-compost was concerned, majority of the farmers were positive towards good soil health condition, easy application, cheap production cost and more effective than traditional compost and found to have a negative attitude towards its adoption as it is untraditional compost.
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How this classification was reachedexpand
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) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".