An extrapolative model for price prediction of crops using hybrid ensemble learning techniques

Abstract

As agriculture is the backbone of the country, agricultural marketing is the basis for most of the nation's economic activities [1].In addition to increasing production and consumption through farming, it also speeds up the development of an economy [2, 3].In general, the goal of agricultural marketing is to get goods from farms to customers [4].The forecasting of prices for agricultural commodities is always a major issue faced by farmers.The price for the commodity decreases after the cultivation of crops, and so they are not able to get the anticipated amount.The severe impact of this problem increases the suicide rate every year [5].

Abstract from the paper’s OpenAlex record, shown for indexing and research. Copyright remains with the authors or the publisher. Read at the source ↗

The text the model read, with the source record’s inline markup (italics, sub- and superscripts) rendered and its character entities decoded; quote offsets refer to the raw text.