IDEAS home Printed from https://ideas.repec.org/a/ags/ajaees/367125.html

Perception of Mango Growers towards Enhanced Freshness Formulation (EFF) Technology- A Study in Krishnagiri District of Tamil Nadu

Author

Listed:
  • Sheelapriya, S.
  • Pirabu, J. Venkata
  • Karthikeyan, C.
  • Duraisamy, M. R.

Abstract

Mango fruits are perishable, and as a result, they are prone to significant post-harvest losses. However, mango fruits lost roughly 35% of their value at several phases from farm to consumer level. Enhanced Freshness Formulation (EFF) is a relatively new technology that has been proven to help prolong shelf life, minimize insect problems, and improve fruit quality. The objective of the study was analyze the perception of mango growers towards EFF technology. Ex-post facto research design was adopted for the study. Krishnagiri district was selected purposively since it possessed the maximum number of farmers who had adopted EFF technology. The duration of the study was about 1 month, June 2022. Based on simple random sampling, the data has been collected from 120 mango growers by using pre-testing and a well-structured interview schedule. The statistical tool used was descriptive statistics. EFF users placed a higher value on shelf life (4.608) followed by uniform ripening (4.375), fruit freshness (4.083), and finally environmental repercussions (1.8) and minimal adverse health (1.7). EFF technology is considered vital in enhancing fruit quality and prolonging shelf life. These twin benefits can allow farmers to sell fruits in niche and high-value markets, reduce postharvest losses and improve economic returns for the farmers.

Suggested Citation

  • Sheelapriya, S. & Pirabu, J. Venkata & Karthikeyan, C. & Duraisamy, M. R., 2022. "Perception of Mango Growers towards Enhanced Freshness Formulation (EFF) Technology- A Study in Krishnagiri District of Tamil Nadu," Asian Journal of Agricultural Extension, Economics & Sociology, Asian Journal of Agricultural Extension, Economics & Sociology, vol. 40(10), pages 1-4.
    • Handle: RePEc:ags:ajaees:367125
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/367125/files/sciencedomain%2C%2BSheelapriya40102022AJAEES89802.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. ., 2022. "Conclusions: selecting priorities," Chapters, in: Rethinking Agricultural and Food Policy, chapter 8, pages 137-154, Edward Elgar Publishing.
    2. Lamya M A Gadou, 2022. "Banking Risk in Selected MENA Countries," International Journal of Innovative Research and Scientific Studies, Innovative Research Publishing, vol. 5(4), pages 306-331.
    3. Eligius M. T. Hendrix & Mercedes Paoletti & Juan Mario Haut, 2022. "On Training Set Selection in Spatial Deep Learning," Springer Optimization and Its Applications, in: Ashkan Nikeghbali & Panos M. Pardalos & Andrei M. Raigorodskii & Michael Th. Rassias (ed.), High-Dimensional Optimization and Probability, pages 327-339, Springer.
    4. Dalia Ghanem & Pedro H. C. Sant'Anna & Kaspar Wuthrich, 2022. "Selection and parallel trends," Papers 2203.09001, arXiv.org, revised Dec 2025.
    5. Rügamer, David & Baumann, Philipp F.M. & Greven, Sonja, 2022. "Selective inference for additive and linear mixed models," Computational Statistics & Data Analysis, Elsevier, vol. 167(C).
    6. Charles M. A. Clark, 2022. "The Selected Letters of John Kenneth Galbraith," Review of Political Economy, Taylor & Francis Journals, vol. 34(1), pages 187-190, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pashchenko, Svetlana & Porapakkarm, Ponpoje & Jang, Youngsoo, 2023. "Mortality Regressivity and Pension Design," MPRA Paper 117936, University Library of Munich, Germany.
    2. Kramlinger, Peter & Schneider, Ulrike & Krivobokova, Tatyana, 2023. "Uniformly valid inference based on the Lasso in linear mixed models," Journal of Multivariate Analysis, Elsevier, vol. 198(C).
    3. Santos, Laura & Ramos Miguel, Rita & do Rosário Pinheiro, Maria & Rijo, Daniel, 2023. "Fostering emotional and mental health in residential youth care facilities: A systematic review of programs targeted to care workers," Children and Youth Services Review, Elsevier, vol. 147(C).
    4. Janys, Lena & Siflinger, Bettina, 2024. "Mental health and abortions among young women: time-varying unobserved heterogeneity, health behaviors, and risky decisions," Journal of Econometrics, Elsevier, vol. 238(1).
    5. Jonas M. Mikhaeil & Christopher Harshaw, 2025. "In Defense of the Pre-Test: Valid Inference when Testing Violations of Parallel Trends for Difference-in-Differences," Papers 2510.26470, arXiv.org, revised Jan 2026.
    6. Pi, Zhenyang & Wang, Ke, 2025. "Does lower electric vehicle production cost spur traditional automaker electrification? Spillovers of cost-reduction investments," Resource and Energy Economics, Elsevier, vol. 81(C).
    7. Anna Gottard & Giulia Vannucci & Leonardo Grilli & Carla Rampichini, 2023. "Mixed-effect models with trees," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 17(2), pages 431-461, June.
    8. Ruonan Xu, 2023. "Difference-in-Differences with Interference," Papers 2306.12003, arXiv.org, revised Jan 2025.
    9. Torous William & Gunsilius Florian & Rigollet Philippe, 2024. "An optimal transport approach to estimating causal effects via nonlinear difference-in-differences," Journal of Causal Inference, De Gruyter, vol. 12(1), pages 1-26.
    10. Schubert, Torben & Darold, Denilton & Will, Markus, 2024. "Measuring the Causal Economic Effects of Scientific Research — Evidence from the Staggered Foundation of the SENAI Innovation Institutes in Brazil," Papers in Innovation Studies 2024/14, Lund University, CIRCLE - Centre for Innovation Research.
    11. Pedro Picchetti, 2023. "Identification in Endogenous Sequential Treatment Regimes," Papers 2311.18555, arXiv.org.
    12. Gregory Faletto, 2023. "Fused Extended Two-Way Fixed Effects for Difference-in-Differences With Staggered Adoptions," Papers 2312.05985, arXiv.org, revised Apr 2025.
    13. Han, Ning & Liu, Peixian & Zhong, Fanglei & Zhao, Dezhao, 2025. "Does public data access improve fiscal transparency? --On a quasi-natural experiment from government data platform access," Socio-Economic Planning Sciences, Elsevier, vol. 98(C).
    14. Yechan Park & Yuya Sasaki, 2024. "A Bracketing Relationship for Long-Term Policy Evaluation with Combined Experimental and Observational Data," Papers 2401.12050, arXiv.org.
    15. Callaway, Brantly & Li, Tong, 2023. "Policy evaluation during a pandemic," Journal of Econometrics, Elsevier, vol. 236(1).
    16. Cloud, Cannon & Heß, Simon & Kasinger, Johannes, 2023. "Shared e-scooter services and road safety: Evidence from six European countries," European Economic Review, Elsevier, vol. 160(C).
    17. Spuck, Nikolai & Schmid, Matthias & Monin, Malte & Berger, Moritz, 2025. "Confidence intervals for tree-structured varying coefficients," Computational Statistics & Data Analysis, Elsevier, vol. 207(C).
    18. Kirby, Matthew G. & Scott, Alister J., 2023. "Multifunctional Green Belts: A planning policy assessment of Green Belts wider functions in England," Land Use Policy, Elsevier, vol. 132(C).
    19. Malmquist, Louise & Barron, Jennie, 2023. "Improving spatial resolution in soil and drainage data to combine natural and anthropogenic water functions at catchment scale in agricultural landscapes," Agricultural Water Management, Elsevier, vol. 283(C).

    More about this item

    Keywords

    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:ajaees:367125. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://journalajaees.com/index.php/AJAEES/index .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.