Lettuce is the popular vegetable because their have a color, a texture, and flavour which can be a food look s fresh. This k ind of vegetables is grow up in a year, in other word that have life cycle within a year. In this paper, we are present the application design of the smartphone for the lettuce maturity detection based on Android using image RGB values in real time. This application is designed with the OpenCV library that can be use to detect a plant maturity condition by image processing. There are three condition used to parameter such as immature (BM), mature (M), overly mature (TM) with range of RGB value in variant condition. The sample is used image of 45 samples. The examination are conducted of three conditions using light intensity of 500 lux, 5000 lux, and 550 lux, then three distance variations of 10 cm, 15 cm, and 20 cm. The results are shown accuracy of 80%, 78%, and 82%. AbstrakSelada merupakan sayuran yang populer karena memiliki warna, tekstur, serta aroma yang menyegarkan tampilan makanan. Sayuran ini merupakan tanaman setahun atau tanaman yang menyelesaikan seluruh siklus hidupnya dalam rentang setahun. Pada paper ini, kami menyajikan perancangan aplikasi pada smartphone untuk deteksi kematangan tanaman selada berbasis Android menggunakan nilai RGB citra secara real time. Aplikasi ini dirancang dengan menggunakan pustaka OpenCV yang dapat digunakan untuk mendeteksi kondisi tanaman dengan pengolahan citra. Ada tiga kondisi yang digunakan sebagai parameter yaitu belum matang (BM), matang (M) dan terlalu matang (TM) dengan rentang nilai RGB untuk setiap kondisi berbeda-beda. Data yang digunakan sebanyak 45 sampel citra. Pengujian dilakukan dengan tiga kondisi intensitas cahaya 500 lux, 5000 lux, dan 550 lux, serta tiga variasi jarak 10 cm, 15 cm, dan 20 cm. Hasil pengujian menunjukkan akurasi sebesar 80%, 78 %, dan 82 %.
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