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In the bustling world of agriculture, bees stand as unsung heroes, not just for honey but as vital pollinators. Their worth, valued at $15 billion annually in the US, extends beyond economics. They enrich biodiversity, bestowing honey, royal jelly, and pollen. Yet, lurking threats endanger their existence. Varroa mites disrupt hives, transmitting diseases, while predatory wasps like yellow jackets inflict harm. Understanding these perils is crucial to preserve bees and maintain their indispensable role.
This project addresses these threats head-on, aiming to fortify hives, manage Varroa mite risks, and augment pollination efficiency. Leveraging OpenCV and YOLO libraries, it gathers extensive data to train models and safeguard bee populations. By analyzing bee movements, it aspires to refine agricultural methodologies.
The culmination involves tracking bees entering and exiting hives. Detecting anomalies in this flow triggers alerts to beekeepers, empowering timely interventions for bee protection. This project epitomizes the quest to safeguard these essential pollinators and secure our agricultural future
https://drive.google.com/file/d/1kvy53mahiE3oesitu2HGGEUN2Is2M2Pw/view?usp=drive_link
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