Yulin Wang Technology Analyst

The EE Times' Green Engineering Summit is running virtually from September 13-15. IDTechEx are participating in Day 2: Data Monitoring and Modeling, Computing and Automation The agricultural sector is undergoing a data-driven transformation, and farmers are adopting data analytics and smart farming technologies to maximize crop yields, profitability, and a sustainable business model. A shift from preventive to predictive agriculture is underway. Recent advances in remote sensing, hyperspectral imaging cameras, connectivity, robotics, IoT, and AI have enabled new approaches to precision agriculture. Farmers can now monitor, control, and visualize various agricultural operations in real time to make timely decisions. Improvements in environmental sensing and embedded systems to process varied urban and rural settings would also improve people's quality of life while reducing pollution, promoting sustainability, and protecting human health. Various challenges must be addressed in this context, ranging from designing and developing more ecological, and efficient smart sensing objects that must be energy-efficient and low-power, as well as able to communicate via wide-area networks with the support of high-performance computing.