Congratulations to the whole team on their peer-reviewed publication!

Saha lab has published its first paper entitled “ Predicting and interpreting cotton yield and its determinants under long-term conservation management practices using machine learning” in the journal of Computers and Electronics in Agriculture. Congratulations to Drs. Jashanjeet Kaur Dhaliwal, Dinesh Panday, Debasish Saha, Jaehoon Lee, Sindhu Jagadamma, Sean Schaeffer and Alemu Mengistu for their great team work in getting this paper published. 

This paper highlights the different machine learning models’ performances in identifying the key soil health management practices for increased cotton yield in a sustainable way. Random forest showed superior performance to other models. This model identified- 1) N application optimization at 60 kg ha^-1 N rate without compromising cotton yield, 2) benefits of no tillage in terms of yield can be achieved after 15 years of practice and 3) long-term adoption of a leguminous cover crop such as hairy vetch has the potential to increase cotton lint yield. Paper link: https://doi.org/10.1016/j.compag.2022.107107