Identification of rice crop diseases using gray level co-occurrence matrix (GLCM) and Neuro-GA classifier

The timely detection and identification of crop diseases is a crucial aspect of the agricultural sector. It contributes significantly to the by and large productivity of the plant. One of the most crucial factors that we need to consider while determining a plant’s susceptibility to a particular dis...

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Veröffentlicht in:International journal of system assurance engineering and management 2024-10, Vol.15 (10), p.4838-4852
Hauptverfasser: Chaudhary, Shashank, kumar, Upendra
Format: Artikel
Sprache:eng
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