Construction of Cricket Ecology Grasp AI System for Smart Mass Production

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  • Akiyama Daichi
    Graduate School of Agro-Environmental Science, Graduate School of Tokyo University of Agriculture
  • Sasaki Yutaka
    Faculty of Regional Environment Science, Tokyo University of Agriculture

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  • 大量スマート生産のためのコオロギ生態把握AIシステムの構築

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<p>In 2013, the FAO announced in Insects for Food: Future Prospects for Food and Feed Safety that insects could replace traditional livestock and feed to benefit the global environment, health, and livelihoods. One of the important keywords of “Food Tech & Agri-tech”, which is expected to grow worldwide, is “alternative protein”, which includes vegetable “meat”, cultured meat, vegetable “milk” and “dairy” products, and insect protein. Of these, insect protein is attracting attention for its potential to reduce environmental loads and for its productivity and technical aspects; however, R&D on mass production has only just begun, and many research questions exist, because the technology has not yet been established. Our research focuses on raising crickets on food wastes, smart agri-production, waste heat utilization, production and use of renewable energy, business models, and new market development by venture companies. Here, we describe the construction of a real-time ecological model for mass production of crickets in YOLO v. 5, an AI model. This versatile and expandable model facilitates handling of a large amount of data. For example, we evaluated a newly defined “cricket activity index” to gather information on feeding under 24-h lighting.</p>

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