A first-of-its-kind smartphone app that detects hive status and health by utilizing deep learning models to evaluate buzz generated by the honey bees. Our approach, which addresses the health of hives without costly sensors, was developed through own created datasets, public datasets, local problem and cooperation with honey bee research center (HBRC) under the Pakistan's national agriculture research center (NARC). Because preserving bees involves more than science; it also involves creativity, responsibility, and effect.
Keywords: Machine Learning,Deep learning ,AI,Bio Diversity,Data Science
Tools: Python,Tensorflow,Scikit Learn,Librosa,SQL,Flask,Hugging Face,Flutter
Department: Department of Computer Science
Tools: Python,Tensorflow,Scikit Learn,Librosa,SQL,Flask,Hugging Face,Flutter
Department: Department of Computer Science
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