DeepForest-based tree crown detection for reforestation.
Monitoring weather parameters for localized weather predictions.
Assessment of lower limb alignment for diagnosing musculoskeletal conditions.
Machine learning for echocardiogram-based RHD diagnosis.
Acoustic monitoring for wildlife ecosystems.
Monitoring of insect populations, particularly moth species.
Our work focuses on developing computer vision systems tailored to wildlife monitoring in Kenya.
Monitoring state of charge for lithium-ion batteries.
Time domain reflectometry-based fault detection system.
Monitoring river water parameters for ecosystem health.
Predicting coffee yield for food security and farmer planning.
