Support Vector Machine Classifier for Wheat Grain Identification Based on Grid Search Optimization Technique

Author:

Naik Nabin Kumar,Sethy Prabira Kumar,Panigrahi Millie,Behera Santi Kumari

Publisher

Springer Nature Singapore

Reference17 articles.

1. FAO (2022). World food situation. https://www.fao.org/worldfoodsituation/csdb/en/. Accessed 04 Feb 2023

2. Chitra HSH, Suguna S, Sujatha SN (2016) A survey on image analysis techniques in agricultural product. Indian J Sci Technol 9(12):1–13

3. Khatri A, Agrawal S, Chatterjee JM (2022) Wheat seed classification: utilizing ensemble machine learning approach. Sci Program 2022:1–9

4. Giraldo P, Benavente E, Manzano-Agugliaro F, Gimenez E (2019) Worldwide research trends on wheat and barley: a bibliometric comparative analysis. Agronomy 9(7):352

5. Charytanowicz M, Niewczas J, Kulczycki P, Kowalski PA, Łukasik S (2016) Discrimination of wheat grain varieties using X-ray images. In: Pietka E, Badura P, Kawa J, Więcławek W (eds) Information technologies in biomedicine, advances in intelligent systems and soft computing, vol 471. Springer, New York, pp 39–50

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