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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
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    References listed on IDEAS

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    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. 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).
    5. Dalia Ghanem & Pedro H. C. Sant'Anna & Kaspar Wuthrich, 2022. "Selection and parallel trends," Papers 2203.09001, arXiv.org, revised Feb 2026.
    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.
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