FPGA-based fused smart sensor for real-time plant-transpiration dynamic estimation

Area of Science:

• Plant Physiology
• Agricultural Engineering
• Sensor Technology

Background:

• Plant transpiration is a critical physiological process for plant survival, involving moisture exchange with the atmosphere.
• Accurate measurement of transpiration is essential for understanding plant health and optimizing agricultural practices.
• Existing methods may lack the real-time, integrated data needed for advanced applications like precision agriculture.

Purpose of the Study:

• To develop and validate a smart sensor system for comprehensive, real-time measurement of plant transpiration.
• To integrate multiple sensor inputs and advanced signal processing for enhanced data accuracy.
• To enable real-time calculation of key transpiration dynamics for improved plant monitoring.

Main Methods:

• A novel smart sensor fusing five primary sensors: air temperature, leaf temperature, air relative humidity, plant out relative humidity, and ambient light.
• A Field Programmable Gate Array (FPGA) unit for implementing signal processing algorithms (average decimation, Infinite Impulse Response filters) to reduce noise.
• Real-time calculation of transpiration, stomatal conductance, leaf-air-temperature-difference, and vapor pressure deficit.

Main Results:

• The smart sensor successfully filtered primary sensor readings, improving data quality.
• Transpiration dynamics were calculated in real-time, allowing simultaneous observation of primary and derived measurements.
• The system demonstrated utility in precision agriculture for detecting abnormal plant conditions.

Conclusions:

• The proposed smart sensor provides accurate, real-time data on plant transpiration and related physiological parameters.
• Its integrated processing and communication capabilities facilitate early detection of transpiration-related stress.
• This technology offers significant potential for advancing precision agriculture and plant stress management.