• A Hybrid Approach to Tea Crop Yield Prediction Using Simulation Models and Machine Learning 

      Batool, Dania; Shahbaz, Muhammad; Shahzad Asif, Hafiz; Shaukat, Kamran; Alam, Talha Mahboob; Hameed, Ibrahim A.; Ramzan, Zeeshan; Waheed, Abdul; Aljuaid, Hanan; Luo, Suhuai (Peer reviewed; Journal article, 2022)
      Tea (Camellia sinensis L.) is one of the most highly consumed beverages globally after water. Several countries import large quantities of tea from other countries to meet domestic needs. Therefore, accurate and timely ...