Pembelajaran Mendalam untuk Klasifikasi Penyakit Daun Padi di Lahan Petani Kecil

Siti Rahmawati Universitas Gadjah Mada
Budi Santoso Institut Teknologi Bandung
Diterbitkan: 2026-07-01 Vol 1 No 1 (2026): Inaugural Issue: Advances in Applied Informatics Research Articles

Abstrak

Studi ini mengusulkan jaringan saraf konvolusional ringan untuk mengklasifikasikan penyakit daun padi dari citra ponsel yang diambil di lahan petani kecil Indonesia. Dilatih pada 8.400 citra lapangan dari empat kelas penyakit, model mencapai akurasi 96,2% sambil berjalan di perangkat, memungkinkan diagnosis luring di daerah dengan konektivitas terbatas.

Kata Kunci

  • deep learning
  • rice disease
  • CNN
  • precision agriculture
  • Indonesia

Referensi

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Unduhan

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