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Big Data in Agricultural Supply Chain by ishan bagga is a document available to read on EtoBox.
What is Big Data in Agricultural Supply Chain about?
This document summarizes a thesis that examines using big data to improve decision making in agricultural supply chains. The authors develop three regression models to forecast demand for an agricultural chemical called AgChem at different time horizons. The first model uses corn and fertilizer prices to forecast annual nationwide demand. The second model explains expected geographic sales distribution based on retailer numbers and early season sales. The third model uses weather data to predict short-term,
- Author
- ishan bagga
- Language
- EN