Pengembangan Smart Agriculture Berbasis IoT dan Computer Vision untuk Deteksi Perubahan Kondisi Daun Tanaman Cabai
Kata Kunci:
: Smart Agriculture, Internet of Things, Computer Vision, tanaman cabai, deteksi daun, monitoring tanaman.Abstrak
Dalam budidaya cabai, petani perlu terus memperhatikan keadaan lingkungan sekaligus pertumbuhan tanamannya. Daun menjadi bagian yang paling mudah dijadikan petunjuk, sebab perubahan warna, bentuk, atau tampilan lainnya dapat menandakan adanya gangguan pada tanaman. Meski demikian, pemantauan yang dikerjakan langsung oleh manusia punya kelemahan: pengecekan harus rutin dilakukan, dan ketepatannya sangat tergantung pada kemampuan pengamat dalam membaca tanda-tanda yang muncul. Di samping itu, data lingkungan seperti kadar air dalam tanah, suhu, dan kelembapan udara umumnya belum dipadukan dengan kondisi visual tanaman ketika pemantauan berlangsung.Untuk menjawab persoalan tersebut, penelitian ini membangun sistem Smart Agriculture yang memadukan Internet of Things (IoT) dengan Computer Vision guna mengenali perubahan pada daun cabai. ESP32 berperan sebagai pengendali utama yang dihubungkan dengan sensor kelembapan tanah, suhu, dan kelembapan udara sehingga keadaan lingkungan tanaman dapat terekam. Sementara itu, kamera mengambil gambar daun secara berkala, lalu gambar tersebut melewati tahap preprocessing dan analisis Computer Vision untuk menggali ciri visual daun. Hasil pembacaan sensor dan analisis gambar kemudian digabungkan dalam satu sistem monitoring, sehingga keadaan lingkungan dan perubahan tampilan tanaman bisa dipantau secara bersamaan. Sistem diuji dengan cara mencocokkan hasil deteksinya dengan kondisi daun yang benar-benar diamati sepanjang penelitian. Ke depan, sistem ini diharapkan menawarkan cara pemantauan tanaman yang lebih tertata, sekaligus menjadi landasan bagi pengembangan Smart Agriculture yang menyatukan data sensor dan analisis citra dalam satu platform.
Unduhan
Referensi
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