This is a technology that enhances agriculture, increases productivity, and profitability through smart technology. It includes a comprehensive smart agriculture technology platform that integrates on-site sensors, edge computing devices, and a central digital twin system.
This innovative system promotes the rapid and efficient adaptation of smart agriculture systems to different operational environments, making it suitable for deployment in various types of farms, including traditional farms in developing countries.
This technology has a wide range of applications, including comprehensive sensing of animals, feed, and the growth environment of both animals and plants. It can perform identity-specific detection, such as tracking animal weight and growth rate, as well as early detection of abnormalities like swine fever or lameness.
In addition to its use on livestock farms, this technology can also be applied in plant cultivation and general consumer markets, such as home plant monitoring systems.
The core value of this technology lies in its innovative transfer learning and few-shot learning methods. Compared to existing solutions, it offers a novel meta-gradient approach for efficient data selection optimization and uncertainty estimation. By integrating smart technology into traditionally operated farms, it enables more precise and scientific farm management, thereby increasing productivity and profitability.
This technology also reduces the risk of disease transmission among animals and plants within the farm, thereby reducing the operational risks for financial institutions providing financing services to farms.
