Articles Open Access Terbit 26 Juni 2026

WaveGate-DETR: Fusi Fitur Ber-gerbang Wavelet dan Kueri Jarang Sadar-Kepadatan untuk Deteksi Real-Time Hama Berukuran Kecil pada Citra UAV Sawah Tropis

Penulis

Rizky Ananda Putra1*, Dewi Kartika Sari2, Yoga Pramudya3, Ahmad Fauzan Hakim1

  1. Department of Informatics, Universitas Nusantara Digital, Salatiga, Indonesia
  2. Faculty of Agricultural Technology, Institut Teknologi Archipelago, Makassar, Indonesia
  3. Department of Electrical Engineering, Universitas Samudra Raya, Surabaya, Indonesia

* Penulis korespondensi: rizky.putra@und.example

PDF (Inggris) Kutip Referensi

Abstrak

Deteksi dini hama padi dari citra UAV terbang rendah dapat menekan penggunaan pestisida secara signifikan, namun objek seperti kelompok telur keong mas, walang sangit, dan gejala awal penggerek batang umumnya berukuran kurang dari 16 × 16 piksel dan tersebar sangat tidak merata. Penelitian ini mengusulkan WaveGate-DETR, detektor end-to-end real-time dengan dua kebaruan: (1) Wavelet-Gated Feature Pyramid (WG-FPN) yang mengganti down-sampling konvolusi bertingkat dengan transformasi wavelet diskret dan gerbang spasial yang menyuntikkan kembali komponen frekuensi tinggi hanya pada lokasi objek kecil, serta (2) Density-Aware Sparse Queries (DASQ) yang mengalokasikan jumlah kueri secara adaptif berdasarkan peta kepadatan objek. Kami juga memperkenalkan dataset NusaPest-UAV berisi 4.812 citra dan 61.350 anotasi dari 12 kabupaten di Jawa dan Sulawesi. WaveGate-DETR-S mencapai mAP@0,5 sebesar 71,8% dan AP objek sangat kecil 29,8%, meningkat +5,7 dan +7,9 poin dibandingkan RT-DETR-R18, dengan 68% kueri lebih sedikit dan kecepatan 58 FPS pada NVIDIA Jetson Orin NX.

Kata Kunci

Cara Mengutip

R. A. Putra, D. K. Sari, Y. Pramudya, and A. F. Hakim, “WaveGate-DETR: Fusi Fitur Ber-gerbang Wavelet dan Kueri Jarang Sadar-Kepadatan untuk Deteksi Real-Time Hama Berukuran Kecil pada Citra UAV Sawah Tropis,” FEATURE: Jurnal Computer Vision Nusantara, vol. 1, no. 1, pp. 1–7, Jun. 2026.

Biografi Penulis
  • Rizky Ananda Putra

    Lecturer and researcher at the Computer Vision Laboratory, Department of Informatics, Universitas Nusantara Digital. His interests include aerial object detection and efficient transformers.

  • Dewi Kartika Sari

    Researcher in precision agriculture and remote sensing at Institut Teknologi Archipelago.

  • Yoga Pramudya

    Assistant professor working on embedded deep learning and UAV systems.

  • Ahmad Fauzan Hakim

    Graduate researcher focusing on wavelet-based representation learning.

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