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RANCANG BANGUN SISTEM DETEKSI KESUBURAN TANAH BERBASIS LED, KAMERA DAN DEEP LEARNING Najib, M Faruq; Rakhmadi, Frida Agung
Sunan Kalijaga Journal of Physics Vol. 3 No. 2 (2021): Sunan Kalijaga Journal of Physics
Publisher : Prodi Fisika Fakultas Sains dan Teknologi UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/physics.v3i2.2326

Abstract

This research is motivated by the lack of an effective and efficient soil fertility detection system. This study aimed to design and manufacture a soil fertility detection system based on LED, camera, and deep learning. This research was conducted in two stages, namely designing and manufacturing the soil fertility detection system. Design of the tool was carried out using Paint 3D software. Manufacturing of this detection system through 3 processes, namely manufacturing hardware, taking datasets, and making software