Determination of cotton and wheat yield using the standard precipitation evaporation index in Pakistan

• Main Authors: Khan, Najeebullah, Shahid, Shamsuddin, Sharafati, Ahmad, Yaseen, Zaher Mundher, Ismail, Tarmizi, Ahmed, Kamal, Nawaz, Nadeem
• Format: Article
• Published: Springer Science and Business Media Deutschland GmbH 2021
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utm.my/id/eprint/94513/; http://dx.doi.org/10.1007/s12517-021-08432-1

This study presents an efficient approach to predict the Rabi and Kharif crop yield using a relatively new and robust machine learning (ML) model named random forest (RF). The standard precipitation evaporation index (SPEI) with different time lags (e.g., 1 to 12 months) are utilized as predictive v...