Economic Assessment of Tuta Absoluta Effect on Tomato Production in East Nawalparasi
Bibliographic record
Abstract
Tuta absoluta is an invasive and highly destructive pest of tomato plants, originated in South America, specifically Peru. It has the capability to infest and cause extensive damage to large areas of cultivated tomato fields, as well as other plants in the solanaceous family. This study aims to assess the economic analysis of effect of Tuta absoluta on tomato production. The study was carried out in Kawasoti municipality, Madhyabindu municipality, and Hupsekot rural municipality of East Nawalparasi district of Nepal. They were selected purposively as research sites as the problem of Tuta was more prominent in these localities. Ninety households that were involved in tomato cultivation were selected through the simple random sampling method for the survey. The primary data were collected through individual respondents through pre-tested questionnaires, face-to-face questionnaire surveys, key informant interviews, and focus group discussions. Descriptive statistics, scaling & indexing were used to analyze the data. Most of the farmers cultivated tomatoes in open fields (68.8%) only whereas 26.6% of farmers cultivated in plastic tunnels. The insect pest problem was ranked as the first major problem of farmers. The study revealed that all of the farmers had problems with Tuta in their tomato fields. The minimum yield loss due to Tuta absoluta was 10% and the maximum loss was 80%. The total variable cost (T.V.C) for tomato production in one kathha is NRs. 11210. Average production of tomato per kathha was 550 kg. Gross return and gross margin from tomato cultivation in 1 kathhaare NRs. 16500 with Benefit Cost Ratio (BCR) of 1.64. The average loss of tomatoes per kathha was 72 kg. Only 20 % of the farmers had knowledge regarding the life cycle Tuta absoluta. The most affected stage by Tuta was the flowering stage. This study suggests that effective management of Tuta absoluta can substantially improve tomato production.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 |
| 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) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".