Empirical Study of Far-Field Crop Quality Examination Models: A Numerical Outlook
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-0836-1_1
Reference46 articles.
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2. Shelestov, A., et al.: Cloud approach to automated crop classification using sentinel-1 imagery. IEEE Trans. Big Data 6(3), 572–582. https://doi.org/10.1109/TBDATA.2019.2940237
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5. Omkar, S.N., Senthilnath, J., Mudigere, D., et al.: Crop classification using biologically-inspired techniques with high resolution satellite image. J. Indian Soc. Remote Sens. 36, 175–182 (2008). https://doi.org/10.1007/s12524-008-0018-y
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