Assessment of utilization of ict tools for agricultural purposes by the farmers of Banda district of Uttar Pradesh
Bibliographic record
Abstract
Information Communication Technology (ICT) plays a vital and crucial role in disseminating the right information to the right person in the right format at the right time. Looking at the unparalleled importance and applicability of ICT tools, a study was conducted in Baberu and Kamasin blocks of Banda district of Uttar Pradesh with 120 farmers to assess the utilization of ICT tools for agriculture purposes. The Ex-Post-Facto research design and multi-stage random sampling technique was used. It was found that cent percent of the respondents are using mobile phone as an ICT tool. Vast majority of the respondents (85.50%) has been using the mobile phones to call Kisan helpline regularly. Also, 41.67 per cent of farmers were found to be using WhatsApp application for agricultural purposes. Majority of the respondents (79.17%) in the selected are getting farm information (seed and sowing) through ICT. Thus, the study revealed a growing acceptance and use of ICT tools among the farmers of Banda district similar to the pattern of many progressive distrICT across Uttar Pradesh.
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 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 | 0.001 | 0.001 |
| 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 | 0.001 | 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".