Team Members – CH2-PS485

Member Student ID Path University
Aditya Aurelio Falah M123BSY1373 Machine Learning Politeknik Elektronika Negeri Surabaya
Muhammad Robith Fikris Sholih M123BSY1126 Machine Learning Politeknik Elektronika Negeri Surabaya
Heni Lusiana Dewi M296BSX1328 Machine Learning Universitas Pembangunan Nasional Veteran Jawa Timur
Dhiyaulhaq Ahmad Ramsi A296BSY2113 Mobile Development Universitas Pembangunan Nasional Veteran Jawa Timur
Aditya Pratama C345BSY3341 Cloud Computing Universitas 17 Agustus 1945 Surabaya
Salma Nabila C296BSX3580 Cloud Computing Universitas Pembangunan Nasional Veteran Jawa Timur

Agrisight

Agrisight

Agrisight is an innovative project that aims to address the challenges of soil identification and crop recommendation in agriculture. By using computer vision, Agrisight intends to revolutionize agriculture by enabling users to accurately identify soil types and receive customized crop recommendations through simple photo uploads.

Download Link

Download link of Agrisight

About Project

Agrisight.Demo.mp4

Features of Agrisight App

  • Authentication with google and email to Firebase Authentication
  • Plant information
  • Articles
  • Soil scanner with camerax and tensorflow lite