Research on Monitoring and Environmental Control of Farmland Operation Based on Multi-Sensor Data Fusion

Because traditional methods fail to accurately obtain environmental sensing data, resulting in poor farmland operation monitoring performance and low agricultural production efficiency, the impact of farmland operation monitoring technology on environmental regulation is proposed. The adaptive fusion method is introduced to fuse the collected farmland environmental data to make the multi-sensor data fusion result optimal. The soil temperature, humidity, oxygen, carbon dioxide and plant height environmental data acquisition sensors are activated to obtain field environmental sensing data, and determine the function keys based on the early warning value and time value. Adjustments were made to the farmland environment based on the judgment results with focus on the environmental control of farmland operation monitoring technology impact. The experimental results show that after the introduction of farmland operation monitoring technology, the accuracy of farmland environment monitoring is higher and the error of farmland environment regulation is lower, which meets the basic needs of users.