Biomimetic Leaf-inspired Microfluidic Sensors for Enhanced Precision Irrigation in Sustainable Agriculture

Efficient water management in agriculture is crucial for enhancing crop yield and addressing global water scarcity challenges. This study presents a biomimetic microfluidic sensor inspired by the vein networks of plant leaves, designed to optimize water distribution in precision irrigation systems. Mimicking the natural capillary action observed in leaf structures, the proposed sensor facilitates real-time monitoring of soil moisture levels, enabling automated irrigation adjustments. The microfluidic design not only enhances moisture detection accuracy but also reduces power consumption, making it an ideal solution for sustainable agricultural practices. Experimental validations demonstrate superior performance in terms of sensitivity, response time, and energy efficiency when compared to conventional soil moisture sensors. The findings suggest that integrating leaf-inspired microfluidic sensors into smart irrigation systems can significantly enhance water conservation and crop productivity, offering a scalable solution for sustainable farming.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.46610/ijipss.2025.v01i01.004
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
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article

Biomimetic Leaf-inspired Microfluidic Sensors for Enhanced Precision Irrigation in Sustainable Agriculture

M. Vinodhini, Suriyaprabha Ka, S. Vadivazhagi
Smart Agriculture and AI
article

Biomimetic Leaf-inspired Microfluidic Sensors for Enhanced Precision Irrigation in Sustainable Agriculture

M. Vinodhini, Suriyaprabha Ka, S. Vadivazhagi
article en

Abstract

Efficient water management in agriculture is crucial for enhancing crop yield and addressing global water scarcity challenges. This study presents a biomimetic microfluidic sensor inspired by the vein networks of plant leaves, designed to optimize water distribution in precision irrigation systems. Mimicking the natural capillary action observed in leaf structures, the proposed sensor facilitates real-time monitoring of soil moisture levels, enabling automated irrigation adjustments. The microfluidic design not only enhances moisture detection accuracy but also reduces power consumption, making it an ideal solution for sustainable agricultural practices. Experimental validations demonstrate superior performance in terms of sensitivity, response time, and energy efficiency when compared to conventional soil moisture sensors. The findings suggest that integrating leaf-inspired microfluidic sensors into smart irrigation systems can significantly enhance water conservation and crop productivity, offering a scalable solution for sustainable farming.

Vol. 1(1)
Openalex Percentile: Top 89%
Smart Agriculture and AI
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