Image Analysis: A Modern Approach to Seed Quality Testing
Hemender .
Department of Seed Science & Technology, Chaudhary Charan Singh Haryana Agricultural University, Hisar, India
Sushma Sharma *
Department of Seed Science & Technology, Chaudhary Charan Singh Haryana Agricultural University, Hisar, India
V. S. Mor
Department of Seed Science & Technology, Chaudhary Charan Singh Haryana Agricultural University, Hisar, India
Axay Bhuker
Department of Seed Science & Technology, Chaudhary Charan Singh Haryana Agricultural University, Hisar, India
*Author to whom correspondence should be addressed.
Abstract
Image analysis is a state-of-the-art technique for seed quality testing. This tool provides vast usage in evaluation of various physiological and morphological characteristics of the seed with a more comprehensive perception. It is based on the extraction of numerical data from a captured image for characteristics like colour, size, shape of seed and seedlings and their subsequent processing with the help of suitable computer software. Speedy analyses, cost-effectiveness, automatic nature and user-friendly environment for work are some important advantages of Image Analysis over other conventional techniques. Numerous software have been developed for application in different fields of seed science research like germination studies, vigour estimation, varietal identification and purity testing etc. and most of these showed their potential adoption in the future as such or with some required transformations.
Keywords: Image analysis, seed testing, seed morphology, computer software, automation