Abstract

An infrared lifetime thermal imaging technique for the measurement of lettuce seed viability was evaluated. Thermal emission signals from mid-infrared images of healthy seeds and seeds aged for 24, 48, and 72 h were obtained and reconstructed using regression analysis. The emission signals were fitted with a two-term exponential model that had two amplitudes and two time variables as lifetime parameters. The lifetime thermal decay parameters were significantly different for seeds with different aging times. Single-seed viability was visualized using thermal lifetime images constructed from the calculated lifetime parameter values. The time-dependent thermal signal decay characteristics, along with the decay amplitude and delay time images, can be used to distinguish aged lettuce seeds from normal seeds.

Highlights

  • As international competition in agricultural markets has intensified because of the proliferation of free trade agreements between countries, many changes have occurred in the seed industry

  • We statistically processed sequences of these thermal images to estimate the mechanical and physiological factors that are significantly related to seed viability

  • After the IR thermography tests were completed, ISTA was performed for 10 days to determine the viability of seeds in the four treatment groups used in the experiments

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Summary

Introduction

As international competition in agricultural markets has intensified because of the proliferation of free trade agreements between countries, many changes have occurred in the seed industry. Nondestructive technologies for evaluation of seed viability, including discrimination between bad seeds and healthy seeds, are in high demand among farmers and workers in the seed industry [1]. Near-infrared (NIR) spectroscopy techniques were proposed recently as an alternative to conventional methods of seed viability evaluation. NIR spectroscopy technology has reportedly enabled the classification and separation of viable seeds from non‐viable ones [2,3]. A calibration model for distinguishing viable seeds from nonviable seeds was developed using a partial least squares method, and the Fourier transform NIR (FT‐NIR) technique reportedly has good potential for discriminating between viable and non‐viable lettuce seeds [4]. FT‐NIR spectroscopy technology has been used to classify normal and artificially aged lettuce seeds [5]

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