Cost and Return Analysis of Tomato Cultivation in Three Different Districts of Bangladesh

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Tanjina Afrin

This paper attempts to analyze the costs, return and production problems of tomato in three districts namely Gazipur, Rangpur and Cumilla in Bangladesh. It is necessary to enunciate that through purposive sampling technique, the data were collected from 225 tomato cultivators of Cumilla and Rangpur districts. Human labour, fertiliser, bamboo sticks, thread, seeds and seedlings, ploughing, irrigation, insecticides and pesticides, hormone, etc. are all necessary for the production of tomatoes. Transport expenses must be taken into account as well. Together, the aforementioned elements were taken into account to estimate the cost of tomato production. Every data set was subjected to statistical and economic analysis, with validated outcomes via a series of tables. Numerous issues affect farmers, and this study sheds insight on this situation. The findings showed that the total cost was highest in Gazipur (Tk.333,800/ha) than that of  Rangpur ( Tk. 304,600/ha) and Cumilla ( Tk.282,670/ha). Gross returns from tomato in Cumilla and Rangpur were Tk. 234,942/acre and Tk. 212,213/acre respectively. The net returns were found higher in Gazipur (Tk. 206,200/ha) than that of Rangpur (Tk. 135,400/ha) and Cumilla (Tk. 97,330/ha). Based on overall costs, the Gazipur, Rangpur and Cumilla districts' benefit cost ratios for tomato production per hectare were determined to be 1.60,1.40 and 1.30, respectively. The most notable limitations in were the high cost of inputs, the absence of storage facilities, price fluctuations, and damage from insects and diseases.

Cost and Return Analysis of Tomato Cultivation in Three Different Districts of Bangladesh. (2024). International Journal of Latest Technology in Engineering Management & Applied Science, 13(10), 42-46. https://doi.org/10.51583/IJLTEMAS.2024.131006

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References

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Cost and Return Analysis of Tomato Cultivation in Three Different Districts of Bangladesh. (2024). International Journal of Latest Technology in Engineering Management & Applied Science, 13(10), 42-46. https://doi.org/10.51583/IJLTEMAS.2024.131006

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