Protection of agricultural plants in solar terms

Combined with agricultural specialty, this paper discusses the function and specific application of smart agriculture in low-carbon agriculture.

The role of intelligent agriculture in agricultural low carbon;

1. Accurate utilization of resources:

Through accurate sensor monitoring, big data analysis and precision agricultural technology, smart agriculture realizes the accurate utilization of agricultural production factors such as land, water resources and pesticides, and avoids resource waste, thus reducing carbon emissions.

2. Intelligent decision support:

Based on the analysis of big data and artificial intelligence, smart agriculture system can provide scientific decision support for farmers. For example, according to weather, soil quality, crop growth and other data, the system can provide farmers with the best planting, irrigation and fertilization programs, avoid unnecessary use of energy and fertilizers, and reduce greenhouse gas emissions.

3. Precision fertilization and plant protection:

Smart agriculture can achieve high-precision monitoring of farmland through remote sensing technology, drones and other means. Combined with big data analysis, it can achieve precise fertilization and plant protection for different plots, reduce the use of chemical fertilizers and pesticides, reduce soil and water pollution, and slow down carbon emissions.

4. Precision irrigation:

Intelligent agricultural system can monitor soil moisture and meteorological conditions in real time and provide accurate irrigation schemes for different crops. This quantitative utilization of water resources avoids the common over-irrigation in traditional agriculture, reduces the waste of water resources, and also reduces the carbon emissions generated by water resources treatment and transportation.

5. Promote agricultural mechanization:

The application of intelligent agricultural technology promotes the improvement of agricultural mechanization, reduces human labor in traditional agricultural production and reduces greenhouse gas emissions. For example, intelligent harvesting robot can improve the efficiency of crop harvesting and reduce the fuel consumption during mechanical operation.

Specific application scenarios:

1. UAV agricultural monitoring:

Using the multi-spectral sensor of UAV, we can monitor the farmland with high resolution image, understand the information of vegetation growth and soil moisture, and provide farmers with suggestions on planting management.

2. Internet of Things precision agriculture:

Through sensors, RFID and other technologies, real-time monitoring of farmland, including soil conditions, meteorological conditions, crop growth and so on. Can help farmers achieve refined management.

3. Intelligent irrigation system:

The intelligent irrigation system automatically adjusts the irrigation amount according to the data of soil moisture and meteorological conditions, so as to ensure the water demand and fertilizer demand of crops and improve the utilization efficiency of water resources.