基于决策树的农作物价格预测

Parashar B M, H. K.
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引用次数: 0

摘要

在我国,农业是经济的主要支柱。印度家庭依赖农业。韩国的国内生产总值(GDP)主要集中在农业上。改良耕作方法以满足困难的生活需要是非常必要的。农作物价格的快速变化在市场上很常见。这些成本波动主要是由于以前的方法造成的。这就导致了需求的变化,同时也影响了作物的市场价值。一旦成本增加,农民就会在价值减少后遭受投资剥夺的折磨。这将导致植物成为废物,成为购买者的缺点。农民们并没有意识到,在不断发展的农业经济中,这种情况正在发生。农民不再寻求利用分析来获取数据,他们想要实现可行的见解并做出明智的选择。在其他国家,许多农民开始转向自动化耕作。选择树规则集与一组可能被监督的学习算法相关联。生产力可以通过使用专业知识和通过机器学习预测增长费用来提高。一个合理的作物产量预测工具能够为种植者提供在更大的背景下有利于人类的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Crop Price Prediction Using Decision Tree
In our nation, farming is the main support for economy. Indian families are depending on agriculture. The nation s GDP is basically concentrated on agriculture. It s far essential to improvize farming practices to fulfill the difficult necessi ties. The quick variations in crop charges are common place inside the market. These fluctuations in costs are specifically because of the previous methods. This results in varaiations in demand and additionally within the marketplace worth of a crop. As soon as the cost increases and farmers be afflicted by an investment deprivation after the worth reduces. It will lead the plants to become waste, turning into a drawback for purchasers. Farmers arenot aware about the call for inside the rising agricultural economy this is taking place. Farmers arenot any further seeking to utilize analytic to acquire data they want to realise workable insights and make clever choices. In other nations many of the farmers are start ing to move towards automatic cultivation. The choice tree set of rules are associated with the group of learning algorithms which might be supervised. Productiveness can be advanced by using expertise and forecasting growth expenses via machine learning. A logical crop rate predicting gadgets are able to provide cultivators possibilities which could advantage human beings in a bigger context.
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