Institutional Repository Record

Machine Learning for Crop Disease Detection at Kabale University Digital Repository-Demo

Kabale University | 2024 | Journal article

Authors

UGKU Research Team; UniDiscovery National Demo

Abstract

Explores machine learning models, image analysis, and agricultural decision support for crop disease detection and farmer advisory services. This metadata-only UniDiscovery demo fixture is seeded for Kabale University Digital Repository-Demo to validate public national discovery and does not represent a live contractual integration.

Source Identifier: demo-national-UGKU-3
Faculty: Not mapped
DOI: https://doi.org/10.2026/ugku.national.3
Handle: https://hdl.handle.net/123456789/143
View Source Repository Record

Citation

UGKU Research Team; UniDiscovery National Demo. "Machine Learning for Crop Disease Detection at Kabale University Digital Repository-Demo." Kabale University (2024) DOI: https://doi.org/10.2026/ugku.national.3. https://example.test/national/ugku/3