关键词: Musa acuminata air filtration genetic algorithm machine learning postharvest shelf life

Mesh : Musa Environment, Controlled Fruit / genetics

来  源:   DOI:10.1111/1750-3841.16811

Abstract:
An economical and effective storage solution has been designed in this work for the storage of postharvest fruits and vegetables. Musa acuminata or banana has a shelf life of 5-6 days in open uncontrolled environment. This article reports a storage solution of M. acuminata in a controlled enclosure containing titanium oxide (TiO2 )-coated inner walls and irradiated with ultraviolet ray of band \"C,\" an air filtration unit, 5% by volume potassium permanganate (KMnO4 ) solution in a clay pot, grow lights, and activated charcoal granules. The same fruit was kept in an uncontrolled environment too. The percentages of dark spots on banana (M. acuminata) upon storage in controlled and uncontrolled environments have been estimated using an image-processing algorithm. The prediction of dark spots was conducted using multi-linear and multivariate polynomial regression. Experimentation with optimum process parameters obtained with genetic algorithm resulted in a shelf life extension of 6 days as compared to its storage in an uncontrolled environment. The setup can be used in vegetable and fruit markets for the extension of shelf life of postharvest perishable items in a compact and cost-effective manner. The setup does not use any refrigeration process thereby decreasing energy requirement.
摘要:
在这项工作中,设计了一种经济有效的储存解决方案,用于储存采后水果和蔬菜。Musaacuminata或香蕉在开放的不受控制的环境中的保质期为5-6天。本文报道了在包含氧化钛(TiO2)涂层内壁的受控外壳中,并用带C的紫外线照射的M.acuminata的存储溶液,一个空气过滤装置,5体积%的高锰酸钾(KMnO4)溶液在陶罐中,生长灯,和活性炭颗粒。同样的水果也被保存在不受控制的环境中。香蕉上黑斑的百分比(M.acuminata)已使用图像处理算法估算了在受控和不受控环境中的存储。使用多元线性和多元多项式回归进行暗斑的预测。与在不受控制的环境中存储相比,通过遗传算法获得的最佳工艺参数的实验可使保质期延长6天。该设置可用于蔬菜和水果市场,以紧凑且具有成本效益的方式延长采后易腐物品的保质期。该设置不使用任何制冷过程,从而降低了能量需求。
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