Distributed digital agricultural park environment sensing system
By deploying data acquisition modules and data processing modules in agricultural parks, calculating the comprehensive environmental index and irrigation demand, and adjusting environmental parameters in combination with intelligent regulation evaluation values, the existing system's shortcomings in terms of intelligence, data accuracy and adaptability are solved, and a higher accuracy and intelligent environmental perception and regulation of agricultural parks are achieved.
Patent Information
- Application Number
- CN202411787768.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-06
- Publication Date
- 2025-04-01
AI Technical Summary
The existing agricultural park management system has shortcomings in terms of intelligence, human-computer interaction management, data acquisition and analysis, and monitoring and detection of crops, resulting in data collection and transmission errors, inaccurate intelligent regulation, and lack of adaptive capabilities and intuitive visual display.
By deploying the data acquisition module to collect environmental parameters in real time, using the data processing and calculation module to calculate the comprehensive environmental index, irrigation demand and intelligent regulation evaluation values, combining the intelligent regulation evaluation values to draw a trend chart, adjust environmental parameters, adopt higher-precision sensors and more reliable data transmission methods, combine the growth characteristics and environmental conditions of different crops, formulate accurate intelligent regulation strategies, and analyze historical data through machine learning technology, and introduce adaptive algorithms and models.
The accuracy of data collection and transmission is improved, the accuracy of environmental comprehensive index, irrigation demand and intelligent regulation evaluation values is ensured, more accurate intelligent regulation strategies are formulated, the system's adaptability and visual display are enhanced, and more intelligent and accurate environmental perception and regulation of agricultural parks is achieved.