Smart agriculture can be applied to many different application scenarios, and here are some of the main ones:
Precision agriculture management: use sensors, monitoring equipment and big data analysis technology to monitor and manage farmland, realize real-time monitoring and analysis of soil nutrients, moisture, temperature, etc., and apply fertilizer and irrigation in a targeted manner to improve crop yield.
Intelligent greenhouse planting: Combined with automation equipment and sensor technology, temperature, humidity, light and other factors are monitored and regulated in the greenhouse to achieve accurate planting and management of vegetables, fruits and other crops.
Unmanned aerial vehicle (UAV) inspection: Unmanned aerial vehicles (UAVs) are used to inspect farmland, monitor crop growth status, identify pests and diseases, and assess areas through aerial images, so as to find problems and take measures in a timely manner.
Intelligent irrigation system: Precise irrigation of farmland through sensors and automatic control systems, adjusting the irrigation amount according to soil moisture conditions, saving water resources and improving irrigation efficiency.
Agricultural product traceability system: The blockchain technology is used to establish an agricultural product traceability system to realize the traceability of the whole process of agricultural product production, ensure product quality and safety, and enhance consumer trust.
Intelligent breeding: the application of Internet of Things technology to monitor the farm environment and animal behavior, to achieve real-time monitoring and management of breeding density, feed feeding and other indicators, and improve the efficiency of livestock and poultry breeding.
Agricultural logistics optimization: use big data analysis technology to optimize the transportation route and warehousing management of agricultural products, reduce transportation costs, and shorten the product circulation cycle.
In general, the application scenarios of smart agriculture are very wide, covering all links of the agricultural industry chain from planting and breeding to sales and logistics, providing more efficient, intelligent and sustainable solutions for agricultural production.