Automated high density macroalgal protein biomass cultivation system

英国水产养殖中小企业SeaGen的核心项目团队由Patricia Estridge（企业家/首席执行官/软件工程师）、Paul Gray（海洋工程师/高级机械工程师）、Duncan Smallman（博士/海洋生物学/培养）、Dan Schaub（软件工程师）和Mike Allen（教授/藻类生物技术）组成。英国动物饲料SME， Abrimar，由Matt Palmer（动物营养学家/博士）和Virgillo Ambriz-Vilchis（兽医/反刍动物营养学家/博士）领导。气候变化是影响人类、环境和世界经济的全球性危机，对那些最缺乏应对资源的国家的影响更为严重。为了阻止气候变暖，我们需要减少75%的排放量，并大规模增加地球上的生物多样性。对于我们的食物链来说，这意味着尽可能地消除排放，并在不需要水和土地的情况下为人类和动物饲料找到可持续的蛋白质来源。我们需要恢复土壤，使大部分农业用地的生物多样化，并继续为世界人口提供适当的营养。SeaGen正在与Abrimar合作开发一种使用海藻生产高蛋白家禽饲料的自动化大藻蛋白培养系统。该系统具有成本效益，不需要土地，几乎不需要能源投入或基础设施。机器学习将确保海藻的最佳生长条件，从而实现生物质高产，并最大限度地提高作物产量。海藻为我们提供了在英国种植高蛋白生物质的机会，而不需要将更多的土地用于作物生产。这项可行性研究将全面评估高蛋白海藻养殖可能降低的成本，并使我们能够评估其作为高蛋白动物饲料来源的潜力。虽然该项目将带来全球效益，但它也可以为沿海社区带来就业机会和收入，这些社区受到气候变化的风险较高。SeaGen的技术将是第一个使用新一代技术来降低成本和提高生产率的公司。

UK aquaculture SME SeaGen has a core project team of Patricia Estridge (entrepreneur/CEO/software-engineer), Paul Gray (marine-engineer/senior-mechanical-engineer), Duncan Smallman (PhD/marine-biology/cultivation), Dan Schaub (software-engineer) and Mike Allen (professor/algal-biotech).UK animal feed SME, Abrimar, is led by Matt Palmer (animal-nutritionist/PhD) with Virgillo Ambriz-Vilchis (veterinary-surgeon/ruminant-nutritionist/PhD).Climate change presents a global crisis that impacts people, environments and economies worldwide, with more severe impacts for those who have the least resources to combat them.To halt warming, we will need to reduce emissions by 75% and massively increase biodiversity across the planet. For our food chain this means eliminating emissions wherever possible, and finding sustainable sources of protein for human and animal feed without water and land needs. We will need to rehabilitate our soils, bio-diversify much of our agricultural land, and continue to offer appropriate nutrition to the world's population.SeaGen is developing an automated macroalgal protein cultivation system using seaweed to produce high protein poultry feed in partnership with Abrimar. This system is cost-effective, requires no land and needs almost no energy input or infrastructure. Machine Learning will ensure optimised growing conditions for the seaweed, leading to a high yield of biomass and maximise effectiveness for crop yield.Seaweed offers us an opportunity to grow high protein biomass in the UK, without the need to commit more land to crop production. This feasibility study will allow full assessment of possible cost reductions in high protein seaweed cultivation, and allow us to assess its potential for a source of high protein animal feed.While this project will have global benefit, it can also specifically bring jobs and income to coastal communities, which have heightened risks from climate change. SeaGen's technology will be the first to use next-gen technology to reduce costs and boost productivity.