Publication

DOI: 10.1016/j.ophoto.2024.100063

Introduction: Pollen analysis has long been a cornerstone of ecological research, enabling the assessment of plant-pollinator interactions, biodiversity, and environmental change. Traditionally, methods for assigning pollen to its botanical origin have ranged from labor-intensive microscopic examination to more recent advancements in chromatic assessment. Among these approaches, color-based classification holds particular promise for its simplicity and potential applicability in bee monitoring systems. However, a fundamental challenge persists: the striking similarity in color between pollen grains from different plant species.

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DOI: 10.1111/aab.12727

Introduction: For nearly a century, the quest to understand honey bee behavior and foraging patterns has driven the development of electronic bee counters. These sophisticated devices hold the promise of remote hive monitoring while preserving the natural flight behavior of colonies and generating precise scientific data. However, the realization of this potential has been hindered by a lack of standardized validation methods and challenges in interpreting flight data.

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