Agricultural Productivity Enhancement System & Livestock Management using Internet of Things

Jeet Sanghavi, Alay M. Shah, S. Rane, Naitik Shah, Siddharth Nayak, Poonam Kadam, Dwarkadas J.
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引用次数: 2

Abstract

The more man has advanced towards technology, more and more problems affecting Mother Nature have aroused. ‘Not now, then when? Not earth, then where? Not we, then who’ are all the rhetoric questions that in themselves stress the need for us to become more aware about Global Warming. Global Warming has vastly affected different human sectors but the worst of the effects are seen in the Agricultural sector where the unpredictable climatic changes are causing to be of great trouble due to which many losses have been incurred. There were days back when our ancestors could predict the climate through ancient methods and to our surprise; most of their predictions did turn out to be true. Now that there are sudden climate changes, the previously used prediction methods have proven futile. There is an acute need to develop more sophisticated prediction methods using technology where more accurate decisions can be made. Using Embedded Systems and IOT, we aim at bringing sophistication to the crop prediction techniques to enhance the agricultural productivity even while the climatic trends keep on changing continuously. Adding on to the utility of this project is the Livestock Management module which further adds value to the project.
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基于物联网的农业生产力提升系统与畜牧管理
随着人类技术的进步,影响大自然的问题也越来越多。“现在不行,那什么时候呢?”不是地球,那又在哪里?不是我们,那么谁呢?这些问题本身就强调了我们需要更多地意识到全球变暖。全球变暖已经极大地影响了人类的各个部门,但最严重的影响出现在农业部门,不可预测的气候变化给农业部门带来了巨大的麻烦,造成了许多损失。曾几何时,我们的祖先可以通过古老的方法预测气候,令我们惊讶的是;他们的大多数预测都被证明是正确的。现在气候发生了突然的变化,以前使用的预测方法被证明是无效的。迫切需要利用技术开发更复杂的预测方法,以便做出更准确的决定。利用嵌入式系统和物联网,我们旨在为作物预测技术带来复杂性,以提高农业生产力,即使气候趋势不断变化。除了这个项目的实用性之外,牲畜管理模块进一步增加了项目的价值。
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