Crop Disease Prediction AI Web App in Django | Image Classification | Transfer Learning

Описание: Crop Disease Prediction AI Web App in Django | Image Classification | Transfer Learning

Welcome to our detailed tutorial on creating a Crop Disease Prediction AI Web App using Django and Transfer Learning Model. In this video, we'll showcase how to utilize Transfer Learning models such as InceptionV3, MobileNetV2, and DenseNet121 to classify and predict crop diseases.

Many experts believe that Deep Learning and AI pose a threat to our world, but with proper application, they can bring about tremendous benefits. Today, we'll explore a practical example of how AI can revolutionize crop farming by accurately diagnosing plant diseases.

Key Highlights:
Training and fine-tuning the models for crop disease classification
To integrate Deep Learning models into Django
Real-world application: Predicting crop diseases

Whether you're an AI enthusiast, a web developer, or someone interested in modern agriculture, this video is packed with valuable insights and practical knowledge.


Get Source Code: https://github.com/shamimkhaled/crop-...
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Tags:
Crop Disease Prediction AI Web App in Django | Image Classification | Transfer Learning,Crop Disease Prediction, AI in Agriculture, Transfer Learning Models, Crop Disease Classification, Plant Disease Diagnosis, Django and AI Integration, image classification with cnn, AI and Machine Learning, deep learning, data science, python3, cnn image classification, image classification using tensorflow, inceptionv3 image classification, image classification, computer vision, pytorch, django ai, image classification tutorial, crop disease prediction

#cropdiseaseprediction #plantdiseasedetection #aiandmachinelearning #transferlearning #deeplearningproject #imageclassification #imageclassificationtutorial #machinelearningproject #convolutionalneuralnetworks #InceptionV3 #DenseNet121 #MobileNetV2