Environmental Impact of Intelligent Systems

Soil, crops, etc., introduce sensing elements (such as: biological sensing, environmental sensing, and image recognition, etc.), and combine wireless communication technology to collect and capture sensing data (such as: temperature and humidity, luminosity, carbon dioxide, etc.) , soil moisture, pests, etc.) to the cloud database. Combining consumer market demand and business data collection, through big data data exploration, integration and analysis, the data is converted into useful information for agricultural operations, and provides farm managers with reference for business decision-making such as production and marketing planning, production management, and customer service. Assist in the intelligent monitoring of the production and marketing process, reduce the burden of farm operations and reduce labor demand, establish a more efficient farm management model, and produce safe, secure and traceable agricultural products that meet consumer needs.