In this video, I explained how to create a deep learning model to identify Foliar diseases in apples using convolutional neural networks. I used a dataset of the Kaggle competition i.e Plant Pathology 2021.

Apples are one of the most important temperate fruit crops in the world. Foliar (leaf) diseases pose a major threat to the overall productivity and quality of apple orchards. The current process for disease diagnosis in apple orchards is based on manual scouting by humans, which is time-consuming and expensive.

The objective is to develop machine learning-based models to accurately classify a given leaf image from the test dataset to a particular disease category and to identify an individual disease from multiple disease symptoms on a single leaf image.

⭐️ Kaggle notebook - [ Ссылка ]
⭐️ Introduction to CNN video - [ Ссылка ]

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⭐️ ABOUT ME ⭐️

I am Yashvi Patel, Software Developer with Data science skills and Kaggle Notebook Master. I created this channel to share my knowledge and experience with you all. This channel will include practical tutorials solving problems from Kaggle datasets and competitions. I will upload videos related to Data Science, Machine learning, Deep learning, Natural Language Processing, and Computer vision.

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