Pengembangan IoT & Artificial Intelligence dalam Smart Agriculture untuk Deteksi Penyakit Tanaman
Abstrak
Penelitian ini mengkaji penerapan teknologi IoT & Artificial Intelligence dalam sistem pertanian cerdas guna meningkatkan kemampuan deteksi penyakit tanaman secara lebih cepat dan tepat. Sistem yang dikembangkan dirancang untuk memantau kondisi tanaman secara berkelanjutan melalui sensor serta melakukan identifikasi penyakit berdasarkan analisis data lingkungan dan citra tanaman.Pendekatan penelitian menggunakan metode eksperimen berbasis machine learning yang meliputi pengumpulan data, tahap praproses, pelatihan model, hingga evaluasi performa sistem. Hasil pengujian menunjukkan bahwa sistem mampu memberikan tingkat akurasi yang tinggi dalam mendeteksi penyakit tanaman serta menghasilkan informasi secara real-time.Selain itu, pemanfaatan IoT memungkinkan proses pemantauan dilakukan secara terus-menerus sehingga mendukung peningkatan efisiensi dalam pengelolaan pertanian. Namun demikian, terdapat beberapa kendala seperti variasi kondisi lingkungan dan keterbatasan dataset. Oleh karena itu, pengembangan lanjutan diperlukan, terutama dengan memanfaatkan metode deep learning yang lebih kompleks serta data yang lebih beragam
Unduhan
Referensi
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Hak Cipta (c) 2026 Ach. Ramadani (Penulis); muhammad faruq (Penerjemah)
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