Technical characteristics Machine learning computer vision to achieve intelligent decision-making in the whole process of planting and breeding.
Core advantages Improve production efficiency: Automate agricultural production processes, such as precision fertilization and intelligent harvesting.
Optimize management decision-making: analyze massive agricultural data and provide scientific decision support.
Enhance competitiveness: improve product quality, reduce costs and optimize the supply chain.
Technical characteristics The agricultural Internet of Things realizes the monitoring, control and management of agricultural production processes through sensors, I devices, networks and data analysis technologies.
Core advantages Environmental monitoring: real-time collection of soil moisture, temperature, light and other data.
Intelligent control: automatically adjust irrigation and fertilization according to monitoring data.
Production prediction and quality traceability: combined with historical data and meteorological information to predict production, record the whole production process data.
Technical characteristics Based on production data, environmental data, market data, integration of agricultural regional, seasonal characteristics, multi-dimensional, in-depth, accurate value analysis application.
Core advantages Precision Agriculture: Personalized management and decision-making by analyzing crop growth data.
Agricultural market information services: forecast market trends and provide sales decision support for producers.
Agricultural resource management and sustainable development: monitoring the agricultural ecological environment and resources to achieve sustainable development.
