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COGNITIVE DECISION PLATFORM FOR HONEY VALUE CHAIN

机译:蜂蜜价值链的认知决策平台

摘要

In an aspect, a decision platform that optimizes honey value chain can be provided. The decision platform may receive images of a geographic region including catchment areas, run a first machine learning model with the images as input to identify resources in the catchment areas, run a second machine learning model with the identified resources to predict pollen and nectar concentration in the catchment areas, run a third machine learning model with at least the predicted pollen and nectar concentration to predict honey yield in each of the catchment areas, and determine placement of a swarm to at least one of the catchment areas. The decision platform may also control an unmanned aerial vehicle to guide the swarm to at least one of the catchment areas.
机译:在一个方面,可以提供优化蜂蜜值链的决策平台。决策平台可以接收包括集水区的地理区域的图像,运行具有图像的第一机器学习模型作为输入以识别集水区中的资源,运行第二个机器学习模型,其中具有所识别的资源来预测花粉和花蜜浓度集水区区域,至少具有预测的花粉和花蜜浓度的第三机器学习模型,以预测每个集水区区域中的蜂蜜产量,并确定将群体放置到至少一个集水区区域。决策平台还可以控制无人驾驶飞行器,以引导蜂拥而至的至少一个集水区。

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