ISSN : 0975-3710
EISSN : 0975-9107
PRITY KUMARI1*, M. SATHISH KUMAR2
1Department of Basic Science, College of Horticulture, Anand Agricultural University, Anand, 388110, Gujarat, India
2International Agri-Business Management Institute, Anand Agricultural University, Anand, 388110, Gujarat, India
* Corresponding Author : psingh2506@aau.in
Received : 03-10-2021 Accepted : 27-10-2021 Published : 30-10-2021
Volume : 13 Issue : 10 Pages : 10913 - 10916
Int J Agr Sci 13.10 (2021):10913-10916
Keywords : Forecasting, Area, Production, Productivity, Citrus and Artificial neural network model
Conflict of Interest : None declared
Acknowledgements/Funding : Authors are thankful to International Agri-Business Management Institute, Anand Agricultural University, Anand, 388110, Gujarat, India. Authors are also thankful to Department of Basic Science, College of Horticulture, Anand Agricultural University, Anand, 388110, Gujarat, India
Author Contribution : All authors equally contributed
Present study deals with artificial neural network model to forecast area, production and productivity of citrus in Gujarat state. Secondary data on area, production and productivity of citrus in Gujarat over the period 1991-92 to 2017-18 were collected form Directorate of Horticulture, Government of Gujarat. Time series secondary data on area, production and productivity of citrus were collected for the period 1958-59 to 2017-18 from National Horticultural Board. Different artificial neural network models were used to analyze the data in RStudio (version 3.5.2) software. The study revealed that area, production and productivity of citrus was best explained by 4:1s:1l, 2:2s:1l & 3:2s:1l ANN architectures, with forecasted value for 2018-19, 41.43 (‘000’ Ha.), 4143.00 (‘000’ MT) &10.20 (MT/Ha.) respectively, where area, production & productivity are likely to go down for the next year
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