非侵入性测量方法在养殖植物中表征黑蝇(Hermetia Illucens)生命周期

Massimiliano Proietti, A. Marini, A. Garinei, Gianluca Rossi, Federico Bianchi, M. Marconi, Silvia Discepolo, M. Martarelli, Maria Teresa Calcagni, Giacomo Zeni, P. Castellini, Stefano Speziali
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摘要

黑兵蝇(bsf)在处理有机废物并将其转化为可用于生产饲料和生物燃料的昆虫蛋白质和油方面非常有效。越来越多的初创公司和公司正在培育bsf,以利用幼虫饮食带来的众多潜在应用。虽然BSF幼虫的繁殖需要人工控制条件,但在生产计划中缺乏表征生命周期的方法。文献中的大多数分析和程序不能在育种者的生产线上使用。在本研究中,进行了非接触式测量(RGB视频,热成像,高光谱成像)和分析方法的探索,以确定对BSF生命周期的不同阶段最重要的方法,并且可以在生产线内自动化。研究的结果是定义了表征标准,通过非接触式测量bsf的生命周期:基于图像和数据采集的计算机视觉算法被开发,使用1)RGB相机用于尺寸/重量估计和不存在营养基质的阶段(蛹)的运动/活力;2)红外摄像机,用于评估营养基质(幼虫)存在的阶段的运动/活力,并用于识别温度异常(代谢太慢或太快);3)采用高光谱室法评价不同饵料对幼虫生长的影响。
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Non-invasive measurements for characterization of Hermetia Illucens (BSF) life cycle in rearing plant
Black Soldier flies (BSFs) are very effective for the treatment of organic waste and their transformation into insect proteins and oils that can be used to produce feed and biofuels. An increasing number of startups and companies are breeding BSFs to take advantage of the numerous potential applications due to the larval diets. Although the breeding of BSF larvae requires artificially controlled conditions, methods for the characterization of the life cycle in production plan are lacking. Most of the analyses and procedures available in the literature cannot be used within the production lines of breeders. In the present study, an exploration of non-contact measurements (RGB video, thermal, Hyperspectral imaging) and of the analysis methodologies was carried out in order to identify the ones which are most significant for the different phases of the BSF life cycle, and which can be automated within the production lines. The result of the study was the definition of the criteria for the characterization, through non-contact measurements of the life cycle of the BSFs: computer vision algorithms based on image and data acquisitions were developed using 1) RGB camera for size / weight estimation and movement / vitality for the phases where the nutritional substrate is not present (pupae); 2) IR camera for the evaluation of movement / vitality for the phases where the nutrient substrate (larvae) is present and for the identification of temperature anomalies (metabolism too slow or too fast); 3) hyperspectral chamber to evaluate the growth of the larvae in relation to the chosen diet.
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