RANCANG BANGUN SISTEM DETEKSI KESUBURAN TANAH BERBASIS LED, KAMERA DAN DEEP LEARNING

  • Najib M
  • Rakhmadi F
N/ACitations
Citations of this article
26Readers
Mendeley users who have this article in their library.

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

Cite

CITATION STYLE

APA

Najib, M. F., & Rakhmadi, F. A. (2021). RANCANG BANGUN SISTEM DETEKSI KESUBURAN TANAH BERBASIS LED, KAMERA DAN DEEP LEARNING. Sunan Kalijaga Journal of Physics, 3(2), 63–69. https://doi.org/10.14421/physics.v3i2.2326

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free