Teman Tani Machine Learning Project

Team Profile

Project Name : Teman Tani

Team ID : C23-PS275

Team Member :

• (ML) M181DSX0178 – Fikri Aufaa Zain – Universitas Indonesia
• (ML) M309DSY1304 – Hana Fatimah Zahra – Universitas Pendidikan Indonesia
• (CC) C360DSX3567 – Ahmad Alfarel – Telkom University
• (CC) C360DSY3708 – Tiara Firdausa Abdillah – Telkom University
• (MD) A030DSX3481 – Guntur Augustin Sinaga –Institut Teknologi Del
• (MD) A360DKX4504 – Henzi Juandri – Telkom University

Teman Tani Machine Learing Project

This machine learning project represents the final output of machine learning journey during the capstone project in Google Bangkit Academy 2023.

Android: Teman Tani Mobile Development

Cloud: Teman Tani Cloud Computing

Project Background:

Indonesia is an agricultural country, and the agriculture sector in Indonesia are very concerning. There’s a lot of farmers that experience difficulties in producing optimal crops because lack of material to get like fertilizer, seeds, etc., do not know what disease of the crops eventually will ruined the time for harvest, and profit-sharing gap between farmers and distributors are very disadvantage for the farmers. Seeing this problem make us want to help all the farmers in Indonesia to maximize their productivity and improve their livelihoods.

Machine Learning:

The Machine Learning part play a role in detecting plant diseases and recommending suitable plants to users based on their location using a Convolutional Neural Network (CNN) model. We utilize libraries such as Tensorflow, Numpy, Pandas, and Skimage. Google Cloud AI Platform will be used for the deployment.

Project Case :

• Cassava Diseases
• Chili Diseases
• Corn Disease
• Potato Diseases
• Rice Disease
• Tomato Disease
• Crop Recommendation

Dataset Source:

• Cassava Diseases

  • Cassava Disease Classification Dataset

• Chili Diseases

  • dhenyd Dataset

• Corn Diseases

  • tushar5harma Dataset

• Potato Diseases

  • tushar5harma Dataset

• Rice Diseases

  • shayanriyaz

• Tomato Diseases

  • Arun Pandian J and Geetharamani Gopal Dataset

• Crop Recommendation

  • atharvaingle Dataset

Code

Cassava Disease

• Cassava Disease.ipynb

Chili Disease

• Chili Disease.ipynb

Corn Disease

• Corn Disease.ipynb

Potato Disease

• Potato Disease.ipynb

Rice Disease

• Rice Disease.ipynb

Tomato Disease

• Tomato Disease.ipynb

Crop Recommendation

• Crop_Recommendation.ipynb