Predicting Plant Water and Soil Nutrient Requirements

Ana Vesić, Vuk Ignjatović, Sava Lakićević, Luka Lakićević, Bojan Gutić, Hristo Skačev, Dušan Dotlić, A. Mićović, M. Jakovljević, M. Zivkovic
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引用次数: 1

Abstract

Agriculture is one of the most important sectors for any country, and it is one of the fields which could benefit most from the digitalization. Digitalization can be widely defined as the integrated use of aggregated data services and tools. It is considered to be a part of a fourth industrial revolution that relies on the fusion of a large number of different technologies which can erase the lines between physical, digital, and biological worlds. The emergence of drones, robots, remote sensors, data science, and Big Data, has been deeply influencing all aspects of farming and food.This paper describes in detail the development of a tool to be implemented in a future web platform called eAgro. The web platform will serve all members of agriculture to promote themselves and their products, to create a thriving environment for businesses, and to serve as an organizing tool in the large community of agricultural workers. The tool discussed in this paper analyses the weather conditions of an area, coupled with the soil analysis of land to give predictions and suggestions for crop growth and fertilization, using elements of data science and developed formulas. The paper contains the motivation for the idea, a detailed explanation of the methodology used, and the future potential of such a tool.
植物水分和土壤养分需求预测
农业对任何国家来说都是最重要的部门之一,也是最能从数字化中受益的领域之一。数字化可以被广泛地定义为对聚合数据服务和工具的综合使用。它被认为是第四次工业革命的一部分,它依赖于大量不同技术的融合,可以消除物理,数字和生物世界之间的界限。无人机、机器人、遥感器、数据科学和大数据的出现,已经深刻地影响着农业和食品的各个方面。本文详细介绍了一个工具的开发,该工具将在未来的web平台eAgro中实现。该网络平台将为所有农业成员提供服务,以推广他们自己和他们的产品,为企业创造一个繁荣的环境,并作为大型农业工人社区的组织工具。本文讨论的工具分析一个地区的天气条件,结合土地的土壤分析,使用数据科学的元素和开发的公式,为作物生长和施肥提供预测和建议。这篇论文包含了这个想法的动机,所使用的方法的详细解释,以及这种工具的未来潜力。
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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