HarvestShield - AI-Powered Graphene Sensor for Early Detection of Berry Spoilage "FreshDetect"

应对全球气候变化至关重要，更好的资源管理技术可以为这一努力做出贡献。最近的COP26报告强调，需要在十年内将排放量减少一半，并在2050年实现净零碳排放，以将全球气温上升保持在1.5摄氏度以下(1)。食物浪费在气候变化中起着重要作用，全球30%的温室气体排放来自食物生产，超过了所有商业航班的总和(2)。各国政府正在推动企业改进，联合国的可持续发展目标旨在到2030年将食物浪费减半，减少食物损失。问题在于供应链，30%-40%的食品生产在进入市场之前就已经损失了(4)，导致每年损失16亿吨食品，价值1.2万亿美元(5)。Altered Carbon的项目专注于开发K9Sense芯片，这是一种突破性的数字鼻子技术，利用改性石墨烯和机器学习(ML)，用于跨行业的气体传感应用。主要目标是尽量减少储存中的生鲜食品浪费，显著影响农业和生鲜食品供应链部门。这项技术在火灾探测、医疗保健和工业监控方面也有潜在的应用。K9Sense芯片的创新来自于它使用耐用的固态多阵列传感器实时检测各种气味的能力。与先进的ML算法相结合，该项目旨在创建一种多功能、通用的传感器，可适应多种用例，填补用于自动化和工业物联网应用的便携式、智能和可定制的多元传感器的空白。Altered Carbon将进行实验室实验和案例研究，以在受控和真实世界的环境中测试芯片及其相关硬件和软件。这一过程将使该公司能够提高K9传感器芯片的性能，优化其设计，并开发一个全自动的基于人工智能的系统，用于学习和识别新的气味触发因素。该项目还包括建立一个庞大的已知气味和事件库，开发用于气味检测和模式分析的人工智能工具，并创建一个准备用于商业推出的基于云的软件系统。

Combating climate change globally is vital, and technology for better resource management can contribute to this effort. The recent COP26 report stresses the need to cut emissions by half within a decade and reach net-zero carbon emissions by 2050 to maintain global temperature rise below 1.5 degrees Celsius (1). Food waste plays a significant role in climate change, with 30% of global greenhouse gas emissions coming from food production, surpassing all commercial flights combined (2). Governments are pushing businesses to improve, with the UN's Sustainable Development Goal aiming to halve food waste and reduce food losses by 2030 (3). The problem resides in the supply chain, where 30-40% of food production is lost before reaching the market (4), leading to an annual loss of 1.6 billion tonnes of food worth $1.2 trillion (5).Altered Carbon's project focuses on developing the K9Sense chip, a groundbreaking digital nose technology utilising modified graphene and Machine Learning (ML) for gas-sensing applications across industries. The primary goal is to minimise fresh food waste in storage, significantly impacting the agricultural and fresh food supply chain sectors. The technology also has potential applications in fire detection, healthcare, and industrial monitoring.The K9Sense chip's innovation comes from its ability to detect various scents in real-time using a durable, solid-state multi-array sensor. Paired with advanced ML algorithms, the project aims to create a versatile, general-purpose sensor adaptable to multiple use cases, filling the gap in portable, intelligent, and customisable multi-element sensors for automation and industrial IoT applications.Altered Carbon will conduct lab experiments and case studies to test the chip and its associated hardware and software in controlled and real-world settings. This process will enable the company to enhance the K9 sensor chip's performance, refine its design, and develop a fully automated AI-based system for learning and identifying new scent triggers. The project also involves building a vast library of known scents and events, developing AI tools for scent detection and pattern analysis, and creating a cloud-based software system ready for commercial launch.