The Application and Optimization of Extensive Data Analysis in the Evaluation of the Effect of Marketing Strategies on Agricultural Machinery Enterprises

Abstract

It is well known that one of the most important things for businesses to grow is to make decisions. There are many issues for them, and most of them involve money. AI models will be used to determine how the chosen agroeconomic factors connect to data from digital marketing in this study. Explaining how these measures decide what to do in detail is essential. On the websites of five well-known farming companies, the numbers of the indexes were written down and put together to make a collection. Stress and sadness tests were used to see if the score had anything to do with information about how farming companies use digital marketing. ANN models were used to make these links work so that they could be used. It's important to know where the advertising traffic comes from, the business costs paid and those not. These steps allow this link to work. Many people are telling big farming companies to spend more on the AI and digital marketing data apps they like.
They will learn more about how to get a job in their field and how prices for things like tools, medicines, and farm supplies change over time. After reading this, they can make better choices and business ideas.