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Quantitative Postharvest Loss Assessment of Tomato Along the Postharvest Supply Chain in Northwestern Ethiopia

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Abstract

The aim of this study was to determine postharvest loss of tomatoes along the postharvest supply chain in Northwest Ethiopia. The study was conducted on tomato fruits produced in three productive kebeles (Chimba, Gumara, and Kudmi) of Northwest Ethiopia following the FAO load tracking and sampling assessment method. Postharvest losses of tomatoes ranged from 6.17 to 8.62%, 1.23 to 8.24%, 3.35 to 4.30%, and 9.38 to 12.58% at the farm, transportation, wholesale, and retail levels, respectively. The mean total postharvest loss of tomatoes was 25.91 ± 1.04% along the supply chain in the study area with in a period of 5 days. Storage and handling of tomatoes at ambient temperature and low relative humidity for a relatively long period of time were the main causes of postharvest losses of tomatoes along the supply chain. Besides, inappropriate postharvest handling practices, lack of storage facilities at wholesale and retail levels, and lack of reliable market system and market information were also identified as contributors for the high postharvest losses of tomatoes observed in our study.

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Acknowledgements

We express our gratitude to Faculty of Chemical and Food Engineering, Bahir Dar Institute of Technology, Bahir Dar University for its support in access all necessary materials for the successful completion of this research work. Authors would like to thank BDU-IUC project (Post-harvest and Food Processing in Northwest Ethiopia) for the financial support and collaboration for accomplishment of the work.

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Correspondence to Eskindir E. Tadesse .

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Tadesse, E.E. et al. (2021). Quantitative Postharvest Loss Assessment of Tomato Along the Postharvest Supply Chain in Northwestern Ethiopia. In: Delele, M.A., Bitew, M.A., Beyene, A.A., Fanta, S.W., Ali, A.N. (eds) Advances of Science and Technology. ICAST 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 384. Springer, Cham. https://doi.org/10.1007/978-3-030-80621-7_8

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  • DOI: https://doi.org/10.1007/978-3-030-80621-7_8

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