利用增强现实技术模拟温室相关环境因素的影响

Thusitha Shaleendra, Buddhi Tharuka Wishvamali, N. Gunarathne, S. Hareendran, P. Abeygunawardhana
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引用次数: 3

摘要

随着人口的大量增长,必须增加农产品的产量。虽然可用于农业的土地数量有限,但对以农业为基础的食品的需求正在扩大。目前的食品市场上,有机食品供应稀缺;因此,它们的零售价格高于其他使用农药生产的农产品。在这种情况下,温室生产在世界各地广泛使用,农药和除草剂最少,包括斯里兰卡。自动化温室可以用最少的人力来增加产量。与需要人类持续关注和护理的传统温室相比,它使用的人力时间更少,将产生更多的收获。安装自动化温室的成本很高,尽管它们的长期效益高于传统温室。因此,把这个概念介绍给耕耘者是很困难的,因为他们不愿意把钱投资在不熟悉的技术上。由于他们没有操作自动化温室的第一手经验,因此他们对采用技术犹豫不决。因此,在本文中,我们提出了一个使用增强现实技术的自动化温室模拟模型,通过该模型,客户可以预先根据理论模型直观地体验物联网温室的工作原理,从而做出投资自动化温室的明智决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulation of the Influence of environmental factors related to Greenhouses using Augmented Reality
With the vast growth of the population, increased production of agricultural products is necessary. Although the amount of land available for agriculture is limited, the demand for food products based on agriculture is expanding. The Organic food supply is scarce in the current food market; hence, their retail prices are higher than the other agricultural products which were produced with the use of pesticides. In this context, Greenhouse production is widely used all over the world with minimal pesticides and weedicides including Sri Lanka. Automated Greenhouses can be used to increase production with a minimum amount of human labor. With less use of human hours, it will produce more harvest than conventional Greenhouses which need constant human attention and care. The installation of automated Greenhouses is costly although their long-term benefits are higher than a conventional one. For this reason, introducing the concept to cultivators would be difficult, as they are reluctant to invest their money on unfamiliar technology. There is a hesitance to embrace technology since they don’t have the first-hand experience in operating an automated Greenhouse. Therefore, in this paper, we present a simulated model of automated Greenhouse using Augmented reality, through which a client can visually experience the workings of IoT Greenhouse based on theoretical models beforehand to make an informed decision to invest in automated Greenhouses.
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