智能隧道农业模式:为可靠的农业生产灌输云计算与皮层

S. M. Alam, Ahmed Hasssan, Abeer Bashir, M. Iqbal
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引用次数: 3

摘要

农业是一个国家的支柱,特别是在南亚,因为那里有过多的耕地。它有利于人的成长和国家新兴的国内生产总值(GDP)。随着人口的增长,南亚特别是巴基斯坦正面临着贫困、饥饿和营养不良的严峻挑战。在这种情况下,园艺与新兴的科学研究和发展可以发挥至关重要的作用,以应对这些挑战。隧道农业就是这样一种发展,它在全球范围内得到了反季节作物,与传统的植被种植方式相比,产量增加了三倍。在这方面,物联网(IoT)的概念是一种很有前途的方法,它在包括农业部门在内的每个生活领域都有其专业知识。在过去几年中,它在隧道农业中的应用已经取得了雄心勃勃的成果,因此,基于最新、强大和可靠技术的健全架构和模式可以改变巴基斯坦农业部门的命运。本文提出了一个框架和硬件设计,其中包括精确的传感器,用于将数据传输到基于Cortex的MPU,基于云的数据单元和进一步适当的执行器,以调节隧道内所需的微气候条件,从而提高生产率,从而增加收入。所提出的硬件模型为中产阶级农民提供了一种廉价、优化和自动化的隧道农业解决方案,在电力和水资源稀缺的国家偏远地区种植反季节作物。此外,它还提供了一个可靠的用户友好型数据库和一个非常简单的GUI,使农民能够轻松监测气候变化、最佳资源利用、远端生产及其健康运输到最近的消费者市场,并定期报告车辆内的位置和重要的小气候条件。据我们所知,这是第一个使用基于Cortex的智能隧道农业微控制器的硬件模型。通过所提出的硬件模型,通过隧道内最优气候条件的自动调节和作物运输系统的监控,可使目标作物的生产和供应减少30 - 40%的水电成本,平均增加20%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart Tunnel Farming Model: An Inculcation of Cloud Computing with Cortex for Reliable Agricultural Production
Agriculture is the backbone of a country particularly in South Asia because of excessive agrarian land resides there. It is beneficial for human growth and the State’s emerging Gross Domestic Product (GDP). South Asia particularly Pakistan is facing severs challenges of poverty, hunger and malnutrition along with growing population. Under these conditions, horticulture governed with emerging scientific research and developments can play a vital role in order to cope up with such challenges. Tunnel farming is such kind of one development being practiced across the globe to obtain off-season crops with three folds of more production as compared to the traditional way of vegetation. In this regard the concept of Internet of Things (IoT) is a promising approach which finds its expertise in every field of life including agriculture sector. Its application in tunnel farming has been generating ambitious results in the past few years therefore, a sound architecture and model based on latest, robust and reliable technologies can change the fate of agricultural sector in Pakistan. This paper proposed a framework with hardware design which comprises of accurate sensors for data transmission to Cortex based MPU, cloud based data unit and further appropriate actuators to regulate the desired microclimatic conditions inside the tunnel to improve the productivity followed by more revenue. Proposed hardware model provides a cheap, optimal and automatic tunnel farming solution to the middle class farmer, growing off-season crops at the far ends of the country with scarcity of electricity and water resources. Furthermore it presents a reliable user friendly database and a very simple GUI that makes it easy for the farmer to monitor the climatic changes, optimal resource utilization, the production at the far site end and its healthy transportation to the nearest consumer market along with periodic reporting of location and vital microclimatic conditions inside the vehicle. To our knowledge, this is the first proposed hardware model which uses Cortex based microcontroller for Smart Tunnel Farming. By the proposed hardware model, the cost of electricity and water can be reduced by 30 to 40% and an average of 20% increment in the production and supply of targeted crops by automatic adjustment of optimal climatic conditions inside the tunnel and monitoring of crops transportation system.
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