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what course can teach how to make an AI app
i want it to be for Agriculture for my country
4 Respostas
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You can use the internet, but I think sololearn didn't have something
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https://www.sololearn.com/learn/10391/?ref=app and use other
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AI for agriculture is a growing and very impactful field (crop health monitoring, yield prediction, soil analysis, pest detection, irrigation optimization).
- Course Path to Build an AI App for Agriculture
Intermediate Python: Make sure you know OOP, modules, exceptions, data handling.
Machine Learning Basics: Learn regression, classification, clustering with scikit-learn. Recommended: Coursera – Andrew Ng’s Machine Learning Specialization or Google ML Crash Course.
Deep Learning: Learn neural networks, especially CNNs for image-based agriculture problems. Recommended: fast.ai Practical Deep Learning (free) or DeepLearning.AI TensorFlow Specialization.
Agriculture Applications: Focus on crop disease detection, yield prediction, soil analysis. Use datasets (like PlantVillage) for practice.
App Development & Deployment: Start with a Streamlit or Flask web app. Later, move to mobile deployment with TensorFlow Lite or PyTorch Mobile.
- Example Project:
AI Crop Doctor App: Farmer takes a picture → AI detects crop disease → app suggests solution.
Roadmap: Python → ML → Deep Learning → Agriculture project → Deploy as web/mobile app.
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Well if you plan on doing something like chat got you Will not need much code but a lot of money for the program since the AI runs off years of Training and not coding