Subject
Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials
Reference36 articles.
1. Development of an intelligent laser biospeckle system for early detection and classification of soybean seeds infected with seed-borne fungal pathogen (Colletotrichum truncatum);Thakur;Biosyst. Eng.,2021
2. A. Chatterjee, R. Disawal, S. Prakash, Biospeckle assessment of bread spoilage by fungus contamination using alternative Fujii technique, in: Advances in Optical Science and Engineering: Proceedings of the Third International Conference, OPTRONIX 2016, Springer Singapore, 2017, pp. 395-401.
3. Application of laser biospeckle analysis for assessment of seed priming treatments;Singh;Comput. Electron. Agric.,2020
4. Laser biospeckle technique for characterizing the impact of temperature and initial moisture content on seed germination;Thakur;Opt. Lasers Eng.,2022
5. P. Singh, A. Chatterjee, V. Bhatia, S. Prakash, Viability assessment of kidney bean seed (Phaseolus vulgaris sp.) using robust biospeckle indexing technique, in: Workshop on Computational Models of Natural Argument, Springer Singapore, Singapore, 2018, pp. 189–195.
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2 articles.
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