Study of Agricultural Commodities Production and Price Movement in Gujarat Region: Demand and Sustainable Livelihoods 

Aditi M Joshi^1,2* and Sanjay G Patel³

¹Institute of Technology and Research, LDRP, Kadi Sarva Vishwavidyalaya (KSV), India

²Faculty of Computer Application and Information Technology, GLS University, India

Corresponding Author E-mail:joshiaditi5993@gmail.com

DOI : http://dx.doi.org/10.12944/CARJ.10.2.12

Abstract:

Since ancient times, agriculture has been one of the chief factors in the advancement of many nations. Also, it has been a huge contributor to the GDP (Gross Domestic Product). But the farmers and the small-scale retailers are still unaware of the demand and supply of the commodities in mandis. Ultimately, they are compelled to use the repetitive pattern of crops. Through knowledge of the intra-mandi prices for seasonal crops is necessary to gain the desired profit. Price trends in several Gujarat markets were investigated for Ajwain and Isabgol (Psyllium Husk) in order to forecast price volatility and problems that produce mandi-level projections, enhancing its usefulness. Given that medicinal crops have various medical and culinary uses, boosting their productivity could increase farmers' profits in comparison to typical pattern crops. So, the aim of this study is to evaluate the optimum preferred crop conditions for important commodities like Isabgol, Ajwain, Fenugreek, Mint and Raw turmeric with respect to profit. A data from the past decade was screened to observe the variation in prices of the crops along with production analysis. Also, it was validated statistically by various statical measures like Standard Deviation, Mean and Coefficient of Variation. We examined intra-mandi prices and found that prices fluctuate over the whole peak season, with notable fluctuations in modal prices among several mandis. To demonstrate the variations in pricing reported for certain mandis on specific days, we've given a few instances. A low standard deviation implies that the commodities price is clustered around the mean, whereas a large standard deviation shows that the commodities price is more dispersed. Price volatility is the discrepancy between what is anticipated and what occurs.

Keywords:

Agriculture; Commodities;  Marginal Farmers; Price Movement

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