Evaluating statistical and machine learning techniques for sugarcane yield forecasting in the tarai region of North India - Anurag Satpathi; Neha Chand; Parul Setiya; Rajeev Ranjan; Ajeet Singh Nain; Dinesh Kumar Vishwakarma; Kashif Saleem; Ahmad J. Obaidullah; Krishna Kumar Yadav; Ozgur Kisi (Computers and Electronics in Agriculture, 2025)

Comparative evaluation of statistical and machine learning models for weather-driven wheat yield forecasting across different districts of Punjab - Kulwinder Kaur Gill; Kavita Bhatt; Akansha; Parul Setiya; Sandeep Singh Sandhu; Baljeet Kaur (Arabian Journal of Geosciences, 2024)

Forecasting soybean yield: a comparative study of neural networks, principal component analysis and penalized regression models using weather variables - Yunish Khan; Vinod Kumar; Parul Setiya; Anurag Satpathi (Theoretical and Applied Climatology, 2024)

Evaluating the performance of Grid IMD, NASA POWER, and MarkSim timeseries weather dataset for Uttarakhand Climatic Condition - Parul Setiya; Manjari Singh; Ajeet Singh Nain (Theoretical and Applied Climatology, 2024)

Predicting rice yield based on weather variables using multiple linear, neural networks, and penalized regression models - Parul Setiya; Anurag Satpathi; Ajeet Singh Nain (Theoretical and Applied Climatology, 2023)