🌱 Using AI to Help Detect Potato Plant Diseases
I’m excited to share a project I’ve been working on: a Potato Plant Disease Detection Model using Machine Learning/Deep Learning. 🤖🌱
The idea is simple: use AI to help identify diseases in potato plants from images.
In this project, the model can detect conditions such as:
🔹 Potato Early Blight
🔹 Potato Late Blight
🔹 Healthy potato leaves
The model analyzes an image of a potato leaf and predicts the possible disease, together with a confidence score.
This project has been a great opportunity for me to strengthen my skills in Python, computer vision, image classification, TensorFlow, data preprocessing, model training, and evaluation.
But beyond the technical side, what excites me most is the real-world impact.
Early detection of plant diseases can help farmers take action sooner, reduce potential crop losses, and contribute to better food production.
This is still a work in progress, and I’m looking forward to improving the model and eventually exploring how it can be made more useful and accessible to farmers.
💡 AI is not just about building models. It is about using data and technology to solve real problems.
I’d love to hear from other Data Scientists, Machine Learning Engineers, Agricultural Technologists, and AI enthusiasts:
👉 What improvements would you recommend for a project like this?
#DataScience #MachineLearning #ArtificialIntelligence #ComputerVision #DeepLearning #TensorFlow #Python #Agriculture #AgriTech #PlantDiseaseDetection #Potato #AI
10 September 2026 à 17h27
View on LinkedIn →
