智能农业和食品加工中的 3D 打印应用

IF 6.3 Q1 AGRICULTURAL ENGINEERING Smart agricultural technology Pub Date : 2024-08-28 DOI:10.1016/j.atech.2024.100553
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引用次数: 0

摘要

增材制造(又称 3D 打印)是一项惊人的创新,在智能农业和食品加工领域有着广泛的用途。它与可调节的农业设备以及无人机和机器人等自主农业仪器一起,提供有关植物健康、营养水平和土壤状况的实时数据。3D 打印技术实现了个性化营养解决方案,特别是在药用营养领域,从而重塑了食品加工工艺。它还能改变食物的质地和结构,创造新奇的感官体验和更优质的产品。通过减少食物浪费(10%-30%)和使用替代蛋白质来源,3D 打印技术有助于可持续食品生产。根据这项研究,人工智能和三维辅助物联网传感器可帮助增产 10% 至 15%,同时显著减少作物变质。它们还能帮助减少 20% 至 25% 的用水量、20% 至 30% 的劳动力需求和 20% 的总体能耗。然而,高昂的成本、复杂的技术和设计知识,以及生产速度和规模的限制,都是广泛使用的障碍。此外,还必须处理好安全和监管问题。由于生物打印、多功能材料、区块链和人工智能集成等方面的进步,3D 打印在各个领域都有着广阔的前景。这些进步将提升3D打印的潜力,带来更高的产出、更可持续的实践和更高质量的产品。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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3D printing applications in smart farming and food processing

Additive manufacturing, also known as 3D printing, is an amazing innovation with a wide range of uses in intelligent agriculture and food processing. Along with adjustable farming equipment and autonomous agricultural instruments like drones and robots, it offers real-time data on plant health, nutrient levels, and soil state. 3D printing has reinvented food processing by enabling personalized nutrition solutions, particularly in the field of medicinal nutrition. It also makes it possible to alter the textures and structures of food, creating novel sensory experiences and better-quality goods. 3D printing contributes to sustainable food production by reducing food waste (10–30 %) and using alternative protein sources. According to the study, AI and 3D-assisted IoT sensors can help increase yield by 10 % to 15 % while significantly reducing crop deterioration. They can also help reduce water usage by 20 % to 25 %, labor requirements by 20 % to 30 %, and overall power consumption by 20 %. However, high costs, complex technical and design knowledge, and limitations on production speed and scale are obstacles to broader use. It's also necessary to handle safety and regulatory concerns. 3D printing has a promising future in various fields thanks to advancements in bioprinting, multifunctional materials, blockchain, and artificial intelligence integration. These advancements could boost 3D printing's potential and result in higher output, more sustainable practices, and higher-quality products.

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