AGRI-SATT - Agricultural Growth using Remote-sensing, IoT, Satellite and Autonomous Telecommand Technology

AGRI-SATT项目将新获得的高分辨率空间和时间卫星数据与关键的环境和藻类生产力数据结合起来，在沙漠土地上创建一种有效的、可扩展的蛋白质和粮食生产方法。这种生长方法的目标是在以前不生长的地方生产具有广泛可用的天然营养素的食品和水产养殖饲料。通过从海水中提取二氧化碳和从深海中提取未充分利用的营养物质，这个高度可持续的项目“脱酸”了大量的海水，在这个过程中回收了99.98%的海水。这对当地的生态系统非常有益，并帮助沿海初级生产者从环境中吸收更多的碳，进一步扩大了这种增长方法的好处。AGRI-SATT项目的独特之处在于，它利用大量可用的天然海水，利用风能在不可耕种的沙漠中生产粮食。经过测试、规模化和获得专利的增长方法将在全球范围内应用。有了地面操作数据，生产操作将得到预测和自动调整，从而大大增加这种高度可持续的粮食生产方法的影响。AGRI-SATT计划首次将每日高分辨率高光谱卫星数据与详细的池塘光生理数据相结合，以确定用于生产高价值食品和饲料原料的天然藻类的质量和生产力。海洋微藻可以产生植物性的欧米伽-3脂肪酸、蛋白质，甚至可以产生海鲜的颜色和味道，这些都可以在高价值的软体动物、甲壳类动物和鱼类中积累，或者可以用于素食。将这些数据结合在一个人工智能支持的计算“数字双胞胎”中，自动化并提高食品的生产和营养质量（蛋白质、色素）。此外，通过物联网、scada控制的池塘机械，可持续的食品和饲料生产将得到最大化。通过使用物联网操作设备和“气候响应式养分供应”控制生产池塘，这种生长方法为微藻创造了理想的生长条件。此外，全年重现理想的生长条件意味着我们高度可持续和可扩展的生产方法与鱼粉或大豆蛋白浓缩物等不太可持续的商品相比具有成本竞争力。英国PLC直接受益于接收大量的关键饲料以及高价值的有机食品。这种可持续食品从根本上显著提高了英国食品生产的竞争力。数据集成软件适用于全球旨在提高净初级生产力的所有农业计划。基于云的人工智能适用于任何农业生产系统。

The AGRI-SATT programme combines newly available, high-resolution spatial and temporal satellite data with key environmental and algal productivity data to create an effective, scalable, protein and food production method on desert land. The objective of this growth methodology is to produce food and aquaculture feed with widely available natural nutrients, in locations where nothing grew before. By extracting CO2 from seawater and underutilized nutrients from the deep ocean, this highly sustainable project 'deacidifies' enormous quantities of seawater, returning 99.98% of the seawater used during the process. This is very beneficial to the local ecosystem and aids coastal primary producers to sequester more carbon from the environment further amplifying the benefits of this growth methodology.What distinguishes the AGRI-SATT programme is that it exploits abundantly available natural seawater to produce food in non-arable deserts using wind-energy. The tested, scaled and patented growth methodology will be applied globally. With ground-based operational data, production operations will be forecast and automatically adjusted to dramatically increase the impact of this highly sustainable food production method.The AGRI-SATT programme, for the first time, combines daily, high-resolution, hyperspectral satellite data with detailed in-pond photo-physiological data to determine the quality and productivity of natural algae for the production of high value food and feed ingredients. Marine microalgae create the plant-based Omega-3 fatty acids, protein, and even the colour and taste of seafood that accumulate in high-value mollusks, crustaceans and fish or alternatively could be used for vegetarian food. Combining these data in an AI-enabled computational 'Digital Twin', automates and increases production and the nutritional quality (protein, pigments) of food. Furthermore, with IoT-enabled, SCADA-controlled pond machinery, sustainable food and feed production will be maximised.By controlling the production ponds with IoT-informed operational equipment and 'weather-responsive nutrient supply', this growth methodology recreates the ideal growth conditions for microalgae. Also, reproducing ideal growth conditions year-round means our highly sustainable and scalable production method is cost-competitive with less sustainable commodities like fishmeal or soy protein concentrate. UK PLC benefits directly by receiving large volumes of critical feed as well as highly valuable organic food. This sustainable food fundamentally and significantly increases the competitiveness of UK food production. The data integration software is applicable globally to all agricultural schemes that aim to increase Net Primary Productivity. The cloud-based AI applies to any agricultural production system.