Comparative analysis of weather-driven models for sorghum yield prediction in Bundelkhand

Authors

  • RITU SINGH Department of Statistics & Computer Science, Banda University of Agriculture & Technology, Banda, Uttar Pradesh, India
  • ANNU Department of Statistics & Computer Science, Banda University of Agriculture & Technology, Banda, Uttar Pradesh, India
  • UMESH CHANDRA Department of Statistics & Computer Science, Banda University of Agriculture & Technology, Banda, Uttar Pradesh, India
  • HIMANI MAHESHWARI School of Computing, Graphic Era Hill University, Dehradun, Uttarakhand, India
  • ARJUN PRASAD VERMA Department of Agricultural Extension, Banda University of Agriculture & Technology, Banda, Uttar Pradesh, India
  • GAURAV SHUKLA Department of Statistics & Computer Science, Banda University of Agriculture & Technology, Banda, Uttar Pradesh, India

DOI:

https://doi.org/10.54386/jam.v27i4.3151

Keywords:

Sorghum, Bundelkhand, Artificial neural network, Principal component analysis (PCA), Least absolute shrinkage and selection operator (LASSO)

References

Aravind, K.S., Vashisth, A., Krishanan, P. and Das, B. (2022). Wheat yield prediction based on weather parameters using multiple linear, neural network and penalised regression models. J. Agrometeorol., 24(1):18-25.

Garde, Y.A., Dhekale, B.S. and Singh, S. (2015). Different approaches on pre harvest forecasting of wheat yield. J. Appl. Natural Sci., 7(2): 839-843.

IPAD (2024–25). Sorghum yield and production position in the world. New Delhi: Indian Production and Area Database, Ministry of Agriculture & Farmers Welfare, Government of India.

Kalia, A., Shukla, G., Mishra, D., Mishra, B.P. and Patel, R.R. (2021). Comparative trend analysis of mustard in Bundelkhand region, Uttar Pradesh and India, Indian J. Ext. Edu., 57(1): 15-19.

Khan, Y., Kumar, V., Setiya, P. and Satpathi, A. (2023). Comparison of phenological weather indices based statistical, machine learning and hybrid models for soybean yield forecasting in Uttarakhand. J. Agrometeorol., 25(3): 425-431.

Maurya, A. K., Rai, R. K., Gautam, Y., Ojha, P.K., Shukla, G. and Pushpa (2025). Forecasting of Gram Production in Bundelkhand Region: A Time Series Analysis Using ARIMA Model. J. Sci. Res. Rep., 31 (9):288–298.

Satpathi, A., Setiya, P., Das, B., Nain, A.S., Jha, P.K.,Singh, S. and Singh, S. (2023). Comparative analysis of statistical and machine learning techniques for rice yield forecasting for Chhattisgarh, India. Sustainability, 15(3): 2786.

Setiya, P., Satpathi, A., Nain, A.S. and Das, B. (2022). Comparison of weather-based wheat yield forecasting models for different districts of Uttarakhand using statistical and machine learning techniques. J. Agrometeorol., 24(3): 255-261.

Suman, A. S., Mishra, A., Shukla, G., Sah, D., Chandra, U., Chaubey, A.K., Mishra, B.P., Pathak, J. and Panwar, G.S. (2024). Analyzing Alternatives for Managing Nitrogen in Puddled Transplanted Rice in a Semi-Arid Area of India. Sustainability. 16: 6096-6111.

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Published

01-12-2025

How to Cite

SINGH, R., ANNU, CHANDRA, U., MAHESHWARI, H., VERMA, A. P., & SHUKLA, G. (2025). Comparative analysis of weather-driven models for sorghum yield prediction in Bundelkhand. Journal of Agrometeorology, 27(4), 511–513. https://doi.org/10.54386/jam.v27i4.3151

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Short Communication

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