PALS - Precision Agriculture using Local Server

N. Mangathayaru, K. Sumanth, P. Jeremiah John, T. Akhila, N. Nidhi
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Abstract

Agriculture plays a vital role in the development of Indian economy, these days many people living in the cities are preferring organic fruits and vegetables, which in turn is creating opportunities for big nurseries to grow fruits and vegetables in the traditional organic method, some people are also growing such plants at their home itself to meet their daily consumption needs. Even though the methodologies used for such farming are very good at providing a good yield, such activities still require a lot of time and man work for efficient output. Such people are starting to rely on some automation and monitoring to as most of the people in such urban localities have very little time to spend on such activities, this has recently become a trend as the sensors used monitor these plants are relatively inexpensive and also usage of such sensors which provide the users with a lot more information which can be used to make dynamic decisions based on various conditions and requirements turns out to be even more efficient as it is not ideal to keep providing the same amount of nutrients and water irrespective of their need, therefore such constant monitoring helps out the users to monitor and decide on what actions to perform such as how much nutrients have to sprayed and how much water needs to be supplied. The only issue in implementing such system arises when we need to use a cloud service to manage all the data which is typically an expensive service and since it is not a one-time expense like the sensors, the users have to keep paying as a monthly/yearly basis for such services. The main aim of this study is to implement a simple and easy to use local server which the user can run on their personal computers or a cheap computation device such as a raspberry pi to avoid the heavy costs of cloud services.
PALS -使用本地服务器的精准农业
农业在印度经济的发展中起着至关重要的作用,这些天许多生活在城市的人更喜欢有机水果和蔬菜,这反过来又为大型苗圃以传统的有机方法种植水果和蔬菜创造了机会,有些人也在自己家里种植这些植物,以满足他们的日常消费需求。尽管用于这种农业的方法非常善于提供良好的产量,但这种活动仍然需要大量的时间和人力来获得有效的产出。这些人开始依赖一些自动化和监控,因为这些城市地区的大多数人很少有时间花在这些活动上。这最近已经成为一种趋势,因为用于监测这些植物的传感器相对便宜,而且这些传感器的使用为用户提供了更多的信息,这些信息可以用来根据各种条件和要求做出动态决策,结果是更有效的,因为不管他们需要什么,保持提供相同数量的营养和水是不理想的。因此,这种持续的监测有助于用户监测和决定采取什么行动,例如需要喷洒多少营养物质,需要供应多少水。实现这种系统的唯一问题是,当我们需要使用云服务来管理所有数据时,这通常是一项昂贵的服务,而且由于它不像传感器那样是一次性支出,用户必须按月/年为这种服务付费。本研究的主要目的是实现一个简单易用的本地服务器,用户可以在他们的个人电脑或便宜的计算设备(如树莓派)上运行,以避免云服务的沉重成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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