Forage area estimation in European honeybees (Apis mellifera) by automatic waggle decoding of videos using a generic camcorder in field apiaries
Forage area estimation in European honeybees (Apis mellifera) by automatic waggle decoding of videos using a generic camcorder in field apiaries
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DOI：
10.1007/s13592-019-00638-3
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发表时间：
2019-04-01
期刊：
影响因子：
2.4
通讯作者：
Morimoto, Nobuo
中科院分区：
文献类型：
--
作者：
Okubo, Satoru;Nikkeshi, Aoi;Morimoto, Nobuo
欧洲蜜蜂的摇摆舞提供了重要的信息，可用于估计饲料面积和确定食物资源的限制。然而，手动解码这些舞蹈是劳动密集型的。本研究开发了一种自动摇摆解码方法，适用于现场养蜂场使用一个通用的摄像机与正常的帧速率拍摄的视频记录。利用粒子图像测速技术对蜜蜂腹部摆动的典型特征进行了检测。我们证明了我们提出的方法，使用视频记录在三个蜂箱在现场养蜂场。解码后的信息被用来估计饲料面积，这是从手动解码获得的估计进行比较。对于所有三个视频记录，我们获得了78-87%的重叠，估计使用自动和手动解码的可能饲料区域。我们的研究结果表明，我们的自动解码方法是手动解释牧草面积估计的目的。
The waggle dances of European honeybees provide important information that can be used to estimate forage areas and identify food resource limitations. However, manually decoding these dances is labor-intensive. This study develops an automatic waggle decoding method applicable to video recordings taken in field apiaries using a generic camcorder with a normal frame rate. Particle image velocimetry was used to detect the typical characteristics of abdominal waggling in bees. We demonstrated our proposed method using video recordings taken at three hives in field apiaries. The decoded information was used to estimate forage area, which was compared against estimates obtained from manual decoding. For all three video recordings, we obtained a 78-87% overlap in the probable forage regions estimated using automatic and manual decoding. Our results suggest that our automatic decoding method is comparable to manual interpretation for the purposes of forage area estimation.