Validation campaign of a smart dynamic scale for measuring live-fish biomass in aquaculture

L. Rossi, C. Bibbiani, B. Fronte, E. Damiano, A. Di Lieto
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Abstract

Aquaculture is one of the most important food production sector in the world. Feed represents a relevant cost in fish farming activity, as well as a considerable source of environmental pollution. The need of precisely estimate the fish biomass and stocking density is crucial to avoid overfeeding, thus pollution and economic loss. Recently a cheap dynamic scale (by MEGA Materials srl) has been developed, based on a board of the Arduino family, suitable to measure live-fish weights. Bluetooth transmitter and a specific app allowed the communication to smartphones and laptops. In this validation campaign a comparison of static Lab scale vs. four different acquisition patterns of the dynamic scale is presented, consisting in repeated series of measurement. The aim is to measure the weight of seabream juveniles/adult reared in both off-shore and in-land facilities, saving time and keeping high precision. The comparison of measurement within static Lab scale and dynamic scale shows significant differences (P<0.0001), highlighting that the dynamic scale achieved steady weight measurement after few reps. The most performing measurement setting of dynamic scale was proven to be 8*10, having eight repeated measures each as average out of ten readings in 1 second time-lap.
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用于测量水产养殖中活鱼生物量的智能动态尺度的验证活动
水产养殖是世界上最重要的粮食生产部门之一。饲料是养鱼活动的一项相关成本,也是相当大的环境污染源。准确估计鱼类生物量和放养密度对避免过度放养造成污染和经济损失至关重要。最近,一种廉价的动态秤(由MEGA Materials公司开发)已经开发出来,基于Arduino系列的板,适合测量活鱼的重量。蓝牙发射器和一个特定的应用程序允许智能手机和笔记本电脑进行通信。在这个验证活动中,静态实验室量表与动态量表的四种不同获取模式的比较被提出,包括一系列重复的测量。目的是测量在近海和内陆设施中饲养的幼鱼/成鱼的体重,节省时间并保持高精度。静态实验室秤和动态秤的测量比较显示出显著差异(P<0.0001),强调动态秤在几次重复后就能实现稳定的体重测量。动态秤的最佳测量设置被证明是8*10,在1秒时间圈内有8次重复测量,每次测量10个读数的平均值。
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