Precision Livestock Farming IT Support Model for the Poultry Industry

A. Ņikitenko, S. Bāliņa, Andrejs Dubrovskis, Ilze Andersone, I. Birzniece
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Abstract

The presented work proposes a practical approach to bird weight data processing and augmentation to enable production outcome forecast model training, which contributes to higher productivity. We suggest using the parametrized model, where parameter values are found through genetic optimization and thus are closely corresponding to broiler body weight factual measurements. The proposed approach is implemented as a stand-alone software system, exposing the models through containerized web services enabling different use scenarios.
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禽业精准养殖IT支持模型
本文提出了一种实用的方法来处理和增强鸟类体重数据,以实现生产结果预测模型的训练,从而有助于提高生产力。我们建议使用参数化模型,其中参数值是通过遗传优化找到的,因此与肉仔鸡体重的实际测量值密切相关。建议的方法作为独立的软件系统实现,通过支持不同使用场景的容器化web服务公开模型。
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