Document Type

Thesis - Open Access

Award Date

2022

Degree Name

Master of Science (MS)

Department / School

Mechanical Engineering

First Advisor

Anamika Prasad

Keywords

chemical polymerization, dip coating, plant strain sensor, Polyaniline, soybean, sunflower

Abstract

The need for precision agriculture in today and future farming cannot be overstressed. Recent agriculture is characterized by numerous challenges such as environmental stressors and resource constraints resulting in low crop yield and unsustainable agriculture practices. Understanding plant growth mechanism and growth rate under the external influence is a bedrock towards precision agriculture practices ensuring optimum yield and sustainable utilization of resources. The current study addresses this need by developing and applying an affordable and stable sensor for monitoring plant growth. The sensor was fabricated by in-situ chemical polymerization of aniline on an elastic band substrate by dip coating. The sensor was characterized using optical imaging and Fourier-transformed infrared spectroscopy (FTIR), calibrated for strain sensing, and its stability was analyzed under cycling loading and temperature variations. When applied to sunflower and soybean stems, the sensor detected a rhythmic growth pattern with higher growth during the dark cycle in sunflower plants but a continuous growth for both the light and dark cycle for soybean. The similarities between growth rate and growth pattern observed on these plants with available information on plant growth indicate the fitness of the sensor for such precision measurement for plant health and suggest a step towards the development of precision sensing capability for agriculture.

Library of Congress Subject Headings

Growth (Plants)
Sunflowers -- Growth.
Sunflowers -- Monitoring.
Soybean -- Growth.
Soybean -- Monitoring.
Wearable technology.
Detectors.
Precision farming.

Number of Pages

50

Publisher

South Dakota State University

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Rights Statement

In Copyright