FAO AGRIS - International System for Agricultural Science and Technology

A comprehensive analysis of machine learning and remote sensing techniques in studying climate hazards-induced crop yield variations

2024

Obahoundje, Salomon | Tilahun, Seifu A. | Zemadim, Birhanu | Schmitter, Petra S.


Bibliographic information
Language
English
License
Open Access, CC-BY-4.0
Type
Conference Poster; Conference Part
Source
Obahoundje, Salomon; Tilahun, Seifu A.; Zemadim, Birhanu; Schmitter, Petra. 2024. A comprehensive analysis of machine learning and remote sensing techniques in studying climate hazards-induced crop yield variations. Poster presented at the Drought Resilience +10 Conference, Geneva, Switzerland, 30 September – 02 October 2024.

2024-12-20
2025-11-19
MODS
Lookup at Google Scholar
If you notice any incorrect information relating to this record, please contact us at [email protected]