Metal Organic Framework based Humidity Sensing: Stability, performance, and IoT Integration
Waseem Akram, Shahzad Iqbal, Zahir Abbas, Shiekh Mansoor, Imran Shah, Asad Ullah, Xiao Wu, Woo Young Kim
Abstract
The incorporation of IoT technology with advanced sensing materials is converting smart agriculture by allowing precise control over environmental conditions and optimizing resource utilization for advanced agricultural productivity. This study examines the potential of metal-organic frameworks (MOFs) for soil moisture detection in plants, focusing on their application in IoT-enabled smart agriculture systems. Two MOFs, synthesized with nickel acetate and zinc acetate, were evaluated for their humidity-sensing capabilities. The nickel acetate-based MOF had a highly porous, rod-shaped morphology with homogeneous dendrites and high capacitance, in contrast to the Zn-MOF, which exhibited clustering and reduced effective humidity collecting sites, as confirmed by Raman and XRD investigations and SEM images. Ni-MOF outperformed Zn-MOF with a 7.5 times increase in capacitance between 10 % and 90 % relative humidity and a minimal hysteresis of 3.5 % at 70 % relative humidity. Additionally, Ni-MOF demonstrated exceptional response and recovery times of 1.6 s and 0.3 s, respectively. These attributes underscore Ni-MOF's suitability for reliable and efficient soil moisture sensing in agricultural applications. By integrating Ni-MOF sensors into wireless sensor networks and IoT frameworks, this research highlights their potential to fuse field-based sensor data with proximal sensing platforms, contributing to enhanced decision-making and optimization of agricultural operations. • Highly porous Ni-MOF with uniform rod-shaped dendritic pores, enabling enhanced water uptake. • Sharper Raman and XRD signatures in Ni-MOF, evidence of stronger metal–ligand interactions. • 7.5 × capacitance increase at 90 % RH and 85 % capacitance change from 10 % to 90 % RH, outperforming Zn-MOF. • Low hysteresis (3.5 % at 70 % RH) and fast response/recovery (1.6 s/0.3 s) for reliable, rapid humidity sensing.