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

农业卫星方案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，在沙漠土地上创造一种有效、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什么都没有生长的地方，用广泛可用的天然营养物质生产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可以对大量海水进行脱酸，回收过程中使用的99.98%的海水。这对当地生态系统非常有利，有助于沿海初级生产者从环境中隔离更多的碳，进一步放大了这种增长方法的好处。农业卫星方案的不同之处在于，它利用风能在非耕地沙漠中利用丰富的可用天然海水生产食物。经过测试、规模化和获得专利的增长方法将在全球应用。农业卫星方案首次将每日高分辨率、高光谱卫星数据与池塘内详细的光生理数据相结合，以确定用于生产高价值食品和饲料成分的天然藻类的质量和生产力。海洋微藻创造了以植物为基础的欧米茄-3脂肪酸、蛋白质，甚至海鲜的颜色和味道，这些物质积累在高价值的软体动物、甲壳类动物和鱼类中，或者也可以用于素食。将这些数据结合在一个支持人工智能的计算“数字双胞胎”中，自动化并提高生产和食品的营养质量(蛋白质、色素)。此外，通过启用物联网、SCADA控制的池塘机械，将最大限度地实现可持续的食品和饲料生产。通过使用物联网信息操作设备和“天气响应性营养供应”控制生产池塘，这种生长方法重新创造了微藻的理想生长条件。此外，全年再现理想的生长条件意味着我们的高度可持续和可扩展的生产方法与鱼粉或大豆浓缩蛋白等可持续性较差的商品相比具有成本竞争力。英国PLC直接受益于获得大量关键饲料以及极具价值的有机食品。这种可持续的食品从根本上显著提高了英国食品生产的竞争力。数据集成软件在全球范围内适用于所有旨在提高净初级生产力的农业计划。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.