Science in the Open.
Vriksh Vani is building Nature Intelligence on a foundation of open hypotheses, empirical testing, and transparent research. We publish our research notes openly as we learn.
Research Notes
Published methodology & findings
Evidence Registry
Verified status of all claims
Experiment Log
Dated chronological timeline
Open Data
Sample biophysical telemetry
Active Hypotheses
3 working research hypotheses
Species Library
Plant profiles & VPD targets
Source of Truth
Canonical claims registry
Model Performance
TinyML evaluation metrics
Published Research Notes
Leaf Surface Thermography Under Controlled Vapor Pressure Deficit (VPD) Shift
Empirical investigation demonstrating that fine-scale leaf surface thermal elevation (+1.4°C) acts as an early indicator of stomatal closure 180 minutes prior to visible wilting in Monstera deliciosa.
Boundary-Layer Micro-Airflow Dynamics and Stomatal Conductance Shifts
Investigating whether low-velocity boundary-layer airflow over leaf surfaces produces measurable temperature and conductance changes detectable via thermal array sensors.
Root Zone Gas Resistance Profiling — BME688 VOC Signal Under Moisture Deficit
Planned experimental methodology for investigating whether BME688 MOX gas resistance signals correlate with root zone moisture deficit — accounting for temperature-driven baseline drift.
Open Biophysics SDK Concept
import math
def calculate_vpd(temp_c: float, rh_pct: float) -> float:
"""Calculate Vapor Pressure Deficit (VPD) in kPa."""
vp_sat = 0.61078 * math.exp((17.27 * temp_c) / (temp_c + 237.3))
vp_act = vp_sat * (rh_pct / 100.0)
return round(vp_sat - vp_act, 2)
def evaluate_transpiration_state(leaf_delta_c: float, vpd_kpa: float) -> str:
"""Infer physiological leaf state from thermal delta and atmospheric VPD."""
if leaf_delta_c > 0.5 and vpd_kpa > 2.0:
return "PRE_WILTING_STRESS"
elif leaf_delta_c > 0.0:
return "TRANSPIRATION_RESTRICTION"
return "OPTIMAL_COOLING"
# Test specimen telemetry
vpd = calculate_vpd(temp_c=24.3, rh_pct=28.0)
state = evaluate_transpiration_state(leaf_delta_c=1.2, vpd_kpa=vpd)
print(f"Calculated VPD: {vpd} kPa | Inferred State: {state}")Working Hypotheses
Thermal Transpiration Signatures as Early Indicators of Plant Stress
Investigating whether sub-degree thermal variations in leaf surface temperature (measured via FLIR thermal sensors) provide an earlier and more accurate signal of transpiration shutdown than conventional ambient or soil moisture sensors.
On-Device TinyML Quantization for Low-Power Biophysical Inference
Exploring INT8 quantized neural models running locally on low-power microcontrollers (like ESP32-S3) to interpret sensor telemetry in real time without cloud latency or external privacy risks.
Substrate Gas Resistance Signatures & Root Zone Activity
Exploring whether low-cost MEMS gas resistance sensors can detect volatile organic compound (VOC) shifts associated with root hair respiration or soil moisture dynamics in indoor plants.