Penerapan YOLOv4 dan Sensor Laser untuk Keamanan Kebun Anggur Brazil
DOI:
https://doi.org/10.31848/justise.v4i1.4318Kata Kunci:
YOLOv4, Sensor laser, IoT, Availability, Keamanan pertanianAbstrak
Keamanan pertanian merupakan aspek krusial dalam menjaga produktivitas dan kesinambungan usaha agribisnis, terutama pada komoditas bernilai ekonomi tinggi seperti anggur. Ancaman pencurian serta gangguan satwa liar, khususnya babi hutan, kerap menimbulkan kerugian material yang signifikan bagi pelaku usaha perkebunan. Penelitian ini mengusulkan sistem pengawasan cerdas yang mengintegrasikan sensor laser dengan algoritma YOLOv4 (You Only Look Once) guna meningkatkan efektivitas keamanan lahan pertanian secara otomatis dan real-time. Sensor laser berperan sebagai mekanisme deteksi dini pergerakan objek, sementara modul kamera ESP32-CAM menangkap citra visual yang selanjutnya dianalisis menggunakan model YOLOv4 untuk klasifikasi objek secara presisi. Sistem ini juga dilengkapi konektivitas Internet of Things (IoT) melalui platform Blynk untuk pemantauan jarak jauh secara real-time. Hasil pengujian menunjukkan tingkat akurasi deteksi sebesar 85% pada kondisi siang hari dan 78% pada kondisi malam, dengan waktu respons rata-rata satu detik dari deteksi hingga notifikasi. Teknologi ini diharapkan dapat meningkatkan availability sistem pengawasan kebun anggur serta mengurangi risiko kerugian akibat pencurian maupun gangguan babi hutan.
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