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AUTONOMOUS REAL-TIME FEED OPTIMIZATION AND BIOMASS ESTIMATION IN AQUACULTURE SYSTEMS

机译:水产养殖系统中的自动实时饲料优化和生物量估算

摘要

The subject matter of this disclosure relates to a system and a method for biomass detection and feed control in an aquaculture environment. An example computer-implemented method includes: providing a feed supply for an aquaculture cage (104, 306) containing a plurality of fish; obtaining data derived from one or more sensors (103, 303, 402) disposed on or within the aquaculture cage (104, 306); using one or more machine learning models that receive the data as input and provide as output a determination of at least one of a fish biomass, a fish biomass distribution, or a fish satiation level for the aquaculture cage (104, 306); and based on the determination from the one or more machine learning models, controlling an amount of feed delivered to the aquaculture cage (104, 306) from the feed supply.
机译:本发明的主题涉及一种用于水产养殖环境中生物量检测和饲料控制的系统和方法。一种示例性计算机实现的方法包括:为包含多种鱼类的水产养殖笼(104306)提供饲料供应;获取从布置在水产养殖笼(104306)上或其内的一个或多个传感器(103303402)获得的数据;使用一个或多个机器学习模型,该模型接收数据作为输入,并提供对水产养殖网箱的鱼类生物量、鱼类生物量分布或鱼类饱足程度中的至少一个的确定作为输出(104306);以及基于来自一个或多个机器学习模型的确定,控制从饲料供应输送到水产养殖笼(104306)的饲料量。

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