Leaf temperature is a key physiological parameter in controlled environments. Unlike ambient temperature, it reflects the plant's actual thermal stress, water loss, and stomatal behavior.
A Review on Leaf Temperature Sensor: Measurement Methods and Application
Overview of IR thermography, thermocouples, and sensor applications in plant physiology.
Fast, Accurate, and Accessible Calculations of Leaf Temperature and Energy Balance
Improved methods for simulating microclimates and predicting leaf temperature.
Precise Sensing of Leaf Temperatures for Smart Farm Applications
Integration of leaf temp sensing hardware/software into greenhouse monitoring systems.
Explorative Frequency Analysis of Leaf Temperature Behavior of Maize Plants
Analysis of dynamic thermal patterns in maize using frequency-domain methods.
Choice of Reference Surfaces to Assess Plant Health Through Leaf Scale Temperature Monitoring
Using infrared imaging and calibrated reference surfaces for accurate plant health monitoring.
Leaf Temperature Sensors and Water-Wise Irrigation Research
Practical deployment of leaf temperature sensors for irrigation efficiency.
Leaf Temperature Measurements — Fundamentals and Methods
Examination of environmental influences and physiological control of leaf temperature.
Thermographic Visualization of Fusarium Infection in Cucumber Leaves
(Infrared thermography detects disease-related thermal signatures in early stages.)
Thermal Imaging of Downy Mildew Impact on Cucumber Leaves
(Environmental and pathogen-driven changes visualized via leaf temperature.)
Nitrogen's Role in Enhancing Plant Cooling Capacity Under High Temperatures
(Nutrient management strategies to boost natural cooling through better evapotranspiration.)
Deploying dense grids of non-contact infrared sensors across crop canopies to capture real-time thermal patterns.
Focus is on detecting microclimate variations, early stress signatures, and guiding precision misting, ventilation, and shading interventions.
Continuous leaf temperature monitoring alongside ambient humidity and temperature sensors to calculate VPD in dynamic environments.
Objective is to validate predictive models for optimal irrigation timing, humidity management, and refine shade-net deployment strategies for maximum plant productivity.
Measuring the rate and extent of natural and induced cooling across different plant species and cultivation methods.
Comparative studies between ambient evaporative cooling, nutrient foliar sprays, and active ventilation to enhance crop resilience against thermal stress.
Using high-resolution thermal cameras to detect abnormal leaf temperature signatures caused by localized pest infestation.
Early identification aims to minimize pesticide usage through targeted, site-specific interventions and predictive pest modeling.
@TODO - more to be added!