EGU26-13806, updated on 21 May 2026
https://doi.org/10.5194/egusphere-egu26-13806
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
Crop Yield Prediction Using Multi-Temporal Hyperspectral Data and GeoAI Deep Learning Algorithm
1,4- 1Università degli Studi di Roma La Sapienza, Department of Civil, Building and Environmental Engineering, Rome, Italy (harshavardhan.kaparthi@uniroma1.it)
- 2Università degli Studi di Trento, Department of Civil, Environmental, and Mechanical Engineering, Trento, Italy (alfonso.vitti@unitn.it)
- 3Università degli Studi di Roma La Sapienza, Department of Civil, Building, and Environmental Engineering, Rome, Italy (davidmwenda.muriithi@uniroma1.it)
- 4Università degli Studi di Roma La Sapienza, Department of Civil, Building, and Environmental Engineering, Rome, Italy (faithkagwiria.mutwiri@uniroma1.it)
How to cite: Kaparthi, H. V., Vitti, A., Muriithi, D. M., and Mutwiri, F. K.: Crop Yield Prediction Using Multi-Temporal Hyperspectral Data and GeoAI Deep Learning Algorithm, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13806, https://doi.org/10.5194/egusphere-egu26-13806, 2026.