Keerti Balambiga, R (2022) Sugarcane yield forecast using weather based discriminant analysis. Sugarcane yield forecast using weather based discriminant analysis. pp. 1-4. ISSN 2772-3755

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Abstract

Discriminant function analysis has been used for forecasting of Sugarcane yield of Coimbatore district in Tamilnadu.
Crop yield has been classified into two and three groups. Using this crop yield and monthly data on
weather variables,discriminant function analysis has been carried out. The scores calculated from function this
along with the trend have used as regressors in developing yield forecast models. The forecast models based on
two groups and groups have been compared. The results show that the forecast models using three groupsare
considered to be better.

Item Type: Article
Additional Information: journal homepage: www.journals.elsevier.com/smart-agricultural-technology
Uncontrolled Keywords: Discriminant function analysis Discriminant scores Forecast models
Divisions: PSG College of Arts and Science > Department of Statistics
Depositing User: Mr Team Mosys
Date Deposited: 24 Apr 2024 06:52
Last Modified: 24 Apr 2024 06:52
URI: http://ir.psgcas.ac.in/id/eprint/2146

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