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Constraints faced by the potato growers about integrated pest management practices

2016· article· en· W2566498971 on OpenAlexaff
Vinod Prakash, Anuj Kumar Singh, Sushil Kumar

Bibliographic record

VenueSouth Asian Journal of Marketing & Management Research · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect Pest Control Strategies
Canadian institutionsCargill (Canada)
Fundersnot available
KeywordsIntegrated pest managementAgriculturePEST analysisAgricultural engineeringMathematicsEngineeringAgroforestryAgricultural scienceBusinessAgronomyBiologyMarketingEcology

Abstract

fetched live from OpenAlex

IPM is the modern concept to environmentally sound and sustainable strategy for pest management. IPM encourages the most compatible and ecologically sound combination of available pest suppression techniques, to keep pest population below economically damaging levels. Priya Karade (2014). The study was carried out during 2014–2015 in Etawah district of Uttar Pradesh regarding constraints level of IPM practices faced by paddy growers. In potato production Kannouj district is the highest producing area but in respect of average production has 8th place in Uttar Pradesh. Potato production of district Etawah is 157797 (q./ha.) and average production is 249.60(q./ha.). This is mainly due to the lack of technical know-how, inputs availability at time and skill proficiency of potato growers. It has also been observed that even in the farmers have the technical knowledge they restrict the adoption as they are unskilled in utilization of technology in the fields. Uses of insecticides/fungicides to control insects, pests and disease, for instances, farmers fear to use them if prepared solution is not adequate and causes more loss in stead of increasing production. Thus, it is not essential only to possess technical know-how rather their skillful use for optimum production is more important. Hence, it would not be out of place here to mention that the human capabilities play a vital role in achieving desired potato yields. The two districts namely, Kannauj and Etawah were selected purposively for the present investigation. Keeping these points in view, an attempt was made to find out the Constraints Faced by the Potato Growers about Integrated Pest Management Practices. The major constraints observed in adoption of IPM practices in paddy crop were lack of storage facilities for IPM material in rural area, lack of quality IPM material at government sale centers; IPM tools/modules were not easily available in rural areas and finally non availability of electricity for storage and production of IPM materials.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.036
GPT teacher head0.298
Teacher spread0.262 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

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Citations1
Published2016
Admission routes1
Has abstractyes

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