Predicting Plant Water and Soil Nutrient Requirements

摘要

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.