Weather Based Cotton Yield Forecasting Models for South Gujarat Region
Pravinsinh K. Parmar, Narendra Singh, Vibha Tak, Khyati Sabhani, Abhinav N. Patel
International Journal of Environment and Climate Change · pp. 3200–3204 · Published 8 Aug 2023
10.9734/ijecc/2023/v13i92564Abstract
An attempt has been made to developed the pre - harvesting forecasting models for cotton yields using (1995-2020) weather and yield data for Bharuch and Surat districts respectively. Models were validated for three years (2018-2020). Good agreements have been realized between actual and predicted yield with similar trends of deviation at pre - harvest stage. R2 values were 0.78 to 0.93 for both districts and stages respectively. Hence, these models can be used for forecasting cotton yield in mid – season (F1) and pre - harvest stage (F2) which is very useful to government authorities to plan the sugarcane production more efficiently. The estimated cotton yields during kharif, the year 2022 were 769 kg/ha and 870 kg/ha for F1 & F2 stage in Bharuch district and 1209 kg/ha and 1454 kg/ha for F1 & F2 stage in Surat district, respectively.
References (3)
- 1 Occurrence prediction of pests and diseases in cotton on the basis of weather factors by long short term memory network [DOI]
- 2 A Textbook of Agricultural Meteorology [DOI]
- 3 Forecasting Yield of Major Crops in Different District of Middle Gujarat and North Gujarat Using Statistical Techniques [DOI]
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