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TMT-Poject

Tomato Plant Disease Detection

Our project aims to help tomato farmers to detect the types of diseases in tomato plants with Computer Vision and how to deal with them properly.

  • Machine Learning: building models with TensorFlow and saving it using KerasModel Format, preprocess train data with data augmentation and preprocess data before feeding it to models for prediction.

  • Cloud: Using Cloud Storage as a model place, implementing Cloud Functions for making endpoint to connect the model from Cloud Storage to Android app

  • Android: Android as an interface of an application that can be connected to Machine Learning or Cloud Computing.

B21-CAP0432 Team Members

  • Aldy Rizky Juniar A2462306
  • Fernaldi Widharsono C2272207
  • Valiant Shabri Rabbani C2272210
  • Christofel Rio Goenawan M0020077
  • Gama Pradipta Wirawan M0020094

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