Sugarcane Yield Prediction in Bihar using Biometric Characteristics

This study focuses on creating predictive models for sugarcane yield in Bihar, utilizing various biometrical characteristics. The research involved collecting observations on specific plant biometrical traits from 50 farmers’ fields of Samastipur, West Champaran and East Champaran Districts of Bihar. Simple random sampling was employed for field selection. Various regression analyses were conducted to identify the optimal combination. The accuracy of the model was assessed by comparing the actual yield from 10% of the observations not used in model development with their predicted values. The results demonstrated a close resemblance, with a margin of error ranging from 5.91% to 8.36%. The forecasted sugarcane yield for Bihar, based on the proposed model, is 847.82 q/ha.