Harmonizing Agricultural Data for AI-Powered Intelligent Agricultural Systems Advisory Tool (ISAT) in Ethiopia

Agricultural decision making in Ethiopia is highly influenced by climate variability, however the effective use of agricultural data remains limited across meteorological, soil, and crop management domains. Differences in formats, spatial and temporal scales, and metadata standards reduce the usabil...

Full description

Bibliographic Details

Main Authors:	Kumar, Kishore G., Dessalegn, Olika, Folorunso, Akinseye, Maila, Nagaraju, Ugendar, K., Mohan, Divya, Gopi, T., Kumar, Shalander
Format:	Artículo preliminar
Language:	Inglés
Published:	International Crops Research Institute for the Semi-Arid Tropics 2025
Subjects:	data collection artificial intelligence climate change adaptation extension activities
Online Access:	https://hdl.handle.net/10568/180317