Agriculture Sensors and Meteorological Sensors for agricultural

To achieve effective increases in agricultural yields, agriculture sensors and weather sensors can play a key role. Below are some of the key steps and methods:

Data collection and monitoring: agricultural sensors and meteorological sensors can collect data on soil moisture, temperature, soil nutrient levels, light intensity, air humidity, wind speed, wind direction, and rainfall. These data can help farmers better understand the farmland environment and make timely adjustments to planting programmes and management strategies.

Efficient transmission system: The collected data needs to be sent to the data processing centre in real time or periodically through an efficient and stable transmission system. This may include utilising Internet of Things (IoT) technology, Lorawan, 4G, 5G networks or other wireless communication methods to ensure the immediacy and integrity of the data.

Data analysis and forecasting: data collected by the sensors are used in conjunction with meteorological data and agricultural expertise to perform data analysis and forecasting. The collected data needs to be processed through smart algorithms and analytical models to provide meaningful insights and predictions. For example, historical data can be analysed to predict future weather trends and crop growth patterns, pest and disease risks to guide agricultural production.

Precision Irrigation and Fertilisation: Based on soil moisture and crop water requirements, agricultural sensors are used to achieve precision irrigation, avoiding waste and poor crop growth caused by over- or under-irrigation. At the same time, combined with the soil nutrient situation and crop demand, to achieve precise fertiliser application, improve the efficiency of fertiliser application and reduce environmental pollution.

Pest and disease monitoring and control: using sensors to monitor the occurrence of pests and diseases, timely detection and early warning, and take appropriate preventive and control measures to reduce the damage of pests and diseases to crops and ensure stable yields.

Meteorological disaster warning and response: Using meteorological sensors to monitor meteorological conditions, timely warning and response to possible meteorological disasters, such as heavy rain, drought, high temperature, etc., to reduce losses.

User-friendly interface and guidance: Farmers and technicians need to access and interpret data through an easy-to-use interface. In addition, data should be combined with expert knowledge and translated into specific operational recommendations, such as irrigation schedules, fertiliser recommendations and pest control strategies.

Data sharing and decision support: sensor data will be shared and integrated to support agricultural decision making. Government departments can use sensor data for agricultural policy making and resource allocation, and agribusinesses can optimise production planning and supply chain management based on the data.

Policy support and standard setting: Government policy support is key to driving development in this area. This includes providing financial support, tax incentives, technical guidance and market access opportunities.

The application of agricultural sensors and weather sensors needs to be considered and implemented in a holistic manner in terms of data collection, analysis, decision support and other aspects in order to truly improve agricultural yields and at the same time reduce the waste of resources and the environmental footprint and promote sustainable agricultural development.