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SISTEM PENDETEKSI BUAH LADA BERBASIS CONVOLUTIONAL NEURAL NETWORK (CNN)PROYEK AKHIR Laporan proyek akhir ini dibuat dan diajukan untuk memenuhi salah satu syarat kelulusan Diploma IV Politeknik Manufaktur
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Sistem pendeteksi buah lada is a system designed to detect and monitor the quality and ripeness of pepper fruits, helping farmers make informed decisions about harvesting.
Farmers and agricultural producers involved in the cultivation and trading of pepper fruits are required to file sistem pendeteksi buah lada.
To fill out sistem pendeteksi buah lada, users need to provide detailed information about their pepper crops including location, type of pepper, harvest time, and quality assessments.
The purpose of sistem pendeteksi buah lada is to enhance the efficiency and quality control in pepper production, ensuring that only ripe and healthy fruits reach the market.
Information that must be reported includes the farm's location, crop details, quantity harvested, inspection results, and any incidents of pest or disease affecting the crops.
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Relevant keywords

2020 2018 lada gambar buah untuk dengan ini pada dalam cnn sistem digunakan proses dapat akhir jaringan dataset hasil citra adalah proyek objek tiruan convolutional cv2 menggunakan yaitu berikut kamera pendeteksi maka merupakan akan sebagai telah atau ten

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