Smart Agriculture
According to the Food and Agriculture Organization of the United Nations (FAO), by 2050, the global population is expected to exceed 9 billion, and agricultural output must increase by 50%.
Traceable Agricultural Data
Record and analyze agricultural production data to provide a basis for scientific decision-making.
Reduce Production Risks
Real-time monitoring of environment and crop conditions, timely warnings, reducing risks from natural disasters and pests.
Improve Production Automation
Automate agricultural operations such as irrigation and fertilization, improve production efficiency, and reduce labor costs.
Monitor Climate Conditions
Combined with various smart agriculture sensors, collect various data from the environment and send it to Cangta. The measurements provided can be used to map climate, select suitable crops, and take necessary measures to improve their capacity, achieving precision farming.
Automated Irrigation
Use distributed networks of smart sensors to monitor various natural conditions such as humidity, air temperature, and soil quality. Others for automated irrigation systems.
Greenhouse Automation
Greenhouse automation systems use principles similar to automated irrigation, such as smart sprinkler controllers that allow you to remotely manage irrigation and lighting systems.
Crop Management
Monitor crop growth and any anomalies to effectively prevent any diseases or infestations that may harm yields. Monitoring metrics include humidity, temperature, soil moisture, soil temperature, trunk diameter, fruit diameter, hydrometer, and solar radiation.
Livestock Monitoring and Management
IoT agriculture sensors can also be attached to farm animals to monitor their health and capacity. For example, record temperature, health, activity, and nutrition information for each cow, as well as collective information about the herd.
IoT is Everywhere
Make Your Business Smarter