Sistem Monitoring Gambar Daun Mangga Untuk Deteksi Awal Penyakit
Kata Kunci:
Monitoring, Citra, Daun, Mangga, PenyakitAbstrak
Penelitian ini mengembangkan sistem monitoring gambar daun mangga untuk deteksi awal penyakit secara otomatis di lapangan. Metode yang diusulkan memanfaatkan akuisisi citra melalui kamera ponsel, praproses peningkatan kontras, segmentasi daun berbasis warna, serta ekstraksi fitur tekstur dan warna yang relevan dengan gejala. Klasifikasi dilakukan menggunakan model pembelajaran mesin ringan agar dapat berjalan pada perangkat edge; arsitektur diuji terhadap beberapa varian penyakit umum, termasuk antraknosa dan bercak bakteri. Dataset terdiri dari gambar beranotasi yang dikumpulkan pada berbagai kondisi pencahayaan dan sudut pengambilan, kemudian dibagi untuk pelatihan, validasi, dan pengujian. Evaluasi menunjukkan akurasi tinggi dalam membedakan daun sehat dan terinfeksi, dengan sensitivitas lebih dari delapan puluh persen pada skenario lapangan. Sistem juga menyediakan antarmuka monitoring untuk memvisualisasikan tren kejadian dan memberi rekomendasi tindakan awal budidaya. Hasil ini menegaskan potensi pendekatan berbasis citra untuk mempercepat deteksi, mengurangi penggunaan pestisida berlebihan, dan membantu pengambilan keputusan petani. Ke depan, peningkatan generalisasi direncanakan melalui augmentasi data, penambahan kelas penyakit, dan integrasi sensor lingkungan guna memperkaya konteks diagnostik. Implementasi lapangan dirancang hemat biaya, mendukung mode offline, dan mudah dipakai oleh pekebun kecil; uji coba awal menunjukkan waktu inferensi cepat serta alur kerja sederhana untuk pemantauan rutin harian skala kebun keluarga.
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Hak Cipta (c) 2025 Debri Eko Arissandi, Achmad Rofiqi (Penulis)
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