Hyperspectral Imaging for Seed Viability: A Review
Seed is the largest crop in the world and is a very usable crop in agriculture and widely cultivated. Seed grain is a worldwide essential food. It is the evolution of agriculture, and cultivating seeds for harvest was about 9,000 to 10,000 years ago. The scientific name of wheat seed is "Tritic...
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Veröffentlicht in: | Journal of Data Science and Intelligent Systems 2023-05 |
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Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Seed is the largest crop in the world and is a very usable crop in agriculture and widely cultivated. Seed grain is a worldwide essential food. It is the evolution of agriculture, and cultivating seeds for harvest was about 9,000 to 10,000 years ago. The scientific name of wheat seed is "Triticum". There are two types of seeds Monocotyledonous and the second is Dicotyledonous seed. Wheat seeds consist of a Monocotyledonous kind. In this review, we have studied seed viability. Viability means quality or health or state of being viable. Seed viability plays a very vital role in agriculture. We have also studied the Hyperspectral imaging tool. This paper overviews Seed viability, Hyperspectral Imaging technology, spectral signature, and some preprocessing and Classification techniques such as noise removal, image filter, SG, MSC, and SNV. A classification technique is used for separating various spectral classes. The seed viability used some testing such as a control test, cool test, warm test, Petri paper dish test, and chemical test (tetrazolium test (TZ)) to check seed viability. This paper helps in choosing the two ways of testing seed viability. One is using Hyperspectral imaging and analysing techniques on the computer; the second is Biological techniques. A comparative study of different technique is done as per stages. The Seed parameter like shape, size, weight, and chemical components for analysing the seed viability using Hyperspectral imaging. The hyperspectral imaging wavelength range is between [400-1000nm]. This paper overviews Biological testing and Hyperspectral Imaging tool for Seed variability. |
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ISSN: | 2972-3841 2972-3841 |
DOI: | 10.47852/bonviewJDSIS3202836 |