DEVELOPING A DIAGNOSTIC TOOL AND TIME SERIES ANALYSIS IN RESPECT OF WHEAT PRICES

Abstract

Appropriate circulation of data related to agricultural commodities all through the nation is basic requirement in the present situation. AGMARKNET portal is one such proposal to gather, integrate and disseminate price information of agrarian products. The data that this gateway gives is basic to every one of the partners related with agribusiness. AGMARKNET expects to convey right and finish data to the farmers keeping in mind the end goal to reinforce their financial position. Agriculturists can know before heading off to the business sectors the cost at which the yield can be sold which acquires them a superior dealing position. Customers can profit as well as this will get straightforwardness landings, checking storing. This investigation means to build up a tool for real markets where wheat arrivals are high. This diagnostic tool will help the data entry administrators to have different checks on the whole procedure of information section, thereby enhancing the information quality by observing the information detailing process persistently. Statistical Process Control (SPC) can help the right detailing of information. Microsoft Excel 2016 was utilized for diagnostic tool development. The second target of the examination is to estimate the modal prices of wheat for a specific variety utilizing time series modeling. Data filtering, sorting and cleaning are the fundamental undertakings directed as a feature of this procedure. The time series modeling has been endeavored to forecast wheat prices in 2018. Microsoft Excel 2016 and Eviews 9 have been used for time series analysis.