The potential of RGB camera for machine learning in non-destructive detection of nutrient deficiencies in apples

Author:

Viduka A.,Fruk G.,Skendrovic Babojelic M.,Antolkovic A.M.,Vrtodusic R.,Karazija T.,Satvar Vrbancic M.,Grgic Z.,Petek M.

Publisher

International Society for Horticultural Science (ISHS)

Subject

Horticulture

Reference37 articles.

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4. Exploring deep learning-based architecture, strategies, applications and current trends in generic object detection: a comprehensive review.;Aziz;IEEE Access,2020

5. Backhaus, A., Bollenbeck, F., and Seiffert, U. (2011). Robust classification of the nutrition state in crop plants by hyperspectral imaging and artificial neural networks. Paper presented at: Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing.

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