E-Agriculture A way to digitalization

S. Anand, Sukita Shettigar, Suman S. Goudar, Aditi Ohol
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Abstract

Agricultural sector is the backbone of our country and it plays a vital role in the overall economic growth of our nation. India has about 59% of its total area for agricultural purpose. The contribution of agricultural sector to our GDP is about 17%. Advanced techniques or the betterment in the arena of agriculture will as certain to increase the competence of certain farming activities. In this paper we introduce a concept for smart farming which utilizes wireless sensor web technology with a web based application. This will play a crucial role in helping farmers. It will aim for the betterment in the facilities given to the farmers and by focussing on the measurement of production of the crops. With the help of data mining techniques and algorithms like K-nearest, decision tree we will gather each and every data related to the farming and it should be updated frequently so that farmers and the consumers will get the right knowledge of the respective crops and about the suitable equipments related to farming. Existing system are not so much efficient in displaying such data characteristics. Our main aim is to enhance the growth in the agriculture sector and make the existing system smarter so that the decision- maker can define the expansion of agriculture activities to empower the different forces in existing agriculture sector.
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电子农业——数字化之路
农业是我国的支柱产业,在我国整体经济增长中起着至关重要的作用。印度约59%的土地用于农业。农业对国内生产总值的贡献约为17%。先进的技术或农业领域的改进肯定会提高某些农业活动的能力。本文介绍了一种利用无线传感器网络技术和基于网络的应用程序的智能农业概念。这将在帮助农民方面发挥至关重要的作用。它的目标是改善提供给农民的设施,并将重点放在作物产量的测量上。在数据挖掘技术和算法的帮助下,如K-nearest,决策树,我们将收集与农业相关的每一个数据,并应经常更新,以便农民和消费者将获得各自作物的正确知识,以及与农业相关的合适设备。现有的系统在显示这些数据特征方面效率不高。我们的主要目标是促进农业部门的增长,使现有系统更加智能,以便决策者可以定义农业活动的扩展,以授权现有农业部门的不同力量。
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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