EGU26-22038, updated on 14 Mar 2026
https://doi.org/10.5194/egusphere-egu26-22038
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
AI-Enabled Climate–Phenology Coupling and Future Productivity Assessment for Semi-Arid Bundelkhand under CMIP6 Forcings
Pashupati Nath Singh1 and Shobhit Pipil2
Pashupati Nath Singh and Shobhit Pipil
  • 1Banaras Hindu University, Institute of Environment & Sustainable Development, Varanasi, India (pashupati1110@bhu.ac.in)
  • 2Royal Global University, Department of Geography and Geoinformatics (RSEES), Guwahati, Assam, India (spipil@rgu.ac)

How to cite: Singh, P. N. and Pipil, S.: AI-Enabled Climate–Phenology Coupling and Future Productivity Assessment for Semi-Arid Bundelkhand under CMIP6 Forcings, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-22038, https://doi.org/10.5194/egusphere-egu26-22038, 2026.

This abstract has been withdrawn after no-show on 11 Aug 2026.