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 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 of Agrisight
Agrisight.Demo.mp4
- Authentication with google and email to Firebase Authentication
- Plant information
- Articles
- Soil scanner with camerax and tensorflow lite