Economic Yield Optimization for Organic Greenhouse Cucumber Production

Embaby, Zainab Abdel Mo’ez and Rushdi, Muhammad Ali and El Mowla, Khaled El Sayed Abd (2021) Economic Yield Optimization for Organic Greenhouse Cucumber Production. In: Cutting-edge Research in Agricultural Sciences Vol. 9. B P International, pp. 33-45. ISBN 978-93-90888-83-2

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Abstract

Producing more will largely depend on increasing crop yield, not farming more land. An important element of food production which must be addressed immediately is the future optimization of crop yield. Organic greenhouse cucumber (Cucumis sativus L.) can be considered as one of several approaches to sustainable agriculture. It is more economic than conventionally grown cucumber crops. The main objective is to optimize yield and decrease costs. In general, excess in agricultural production on a reasonable basis and at a competitive price is vital to becoming better the farmers' economic situation. We introduce Weighted Goal Programming (WGP) as an efficient model in reaching optimality, involving net return, regular labor cost, crop collection cost, engineering supervision cost and seeds cost. The result revealed that the yield for cucumber crop in both greenhouse and open field covered its actual costs of production. Irrespective of the factors affecting the cucumber growth, the first optimization results are WGP model achieves the unique optimal solution for the overall problem, in greenhouse x = 165.1883 tons/acre in spring, 50.00 tons/acre in autumn, and in open field x =13.8796 tons/acre in spring, 10.4640 tons/acre in autumn. This study concluded that the cucumber greenhouse system has been shown to have higher profitability than the open-field system and is more efficient which compensates its extra costs. A marketing aspect study is suggested as it could open up more avenues for improving the performance of this organic greenhouse production system as an important sub-sector.

Item Type: Book Section
Subjects: GO for STM > Agricultural and Food Science
Depositing User: Unnamed user with email support@goforstm.com
Date Deposited: 28 Nov 2023 03:39
Last Modified: 28 Nov 2023 03:39
URI: http://archive.article4submit.com/id/eprint/1934

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