Insect Eavesdropper: Digital Monitoring of Crop Pests Via Vibrational Signals
Date:
Presented the Insect Eavesdropper project, which uses machine learning algorithms to identify pest sounds with 96% precision. The talk highlighted its innovative approach and potential impact on pest management in agriculture.