Is your feature request related to a problem? Please describe.
NA
Describe the solution you'd like.
This project develops a lightweight machine learning model using TinyML techniques to detect tomato plant diseases from leaf images in real-time. By leveraging TensorFlow Lite and Edge Impulse, the model runs directly on edge devices, providing immediate insights for agricultural decision-making. With a dataset of 16,011 images across 10 disease categories, the model undergoes rigorous preprocessing, augmentation, and optimization. Real-world testing validates its effectiveness, offering farmers a convenient tool for on-site disease diagnosis, potentially revolutionizing agricultural practices.
Describe alternatives you've considered.
NA
Add any other context or screenshots about the feature request here.
Thanks for opening thisIssue 🙌, Welcome to Project Guidance 💖 We will review everything and get back to you. Make sure to give a star to this repo before making a fork! Thank you :)
Thanks for opening thisIssue 🙌, Welcome to Project Guidance 💖 We will review everything and get back to you. Make sure to give a star to this repo before making a fork! Thank you :)
Is your feature request related to a problem? Please describe.
NA
Describe the solution you'd like.
This project develops a lightweight machine learning model using TinyML techniques to detect tomato plant diseases from leaf images in real-time. By leveraging TensorFlow Lite and Edge Impulse, the model runs directly on edge devices, providing immediate insights for agricultural decision-making. With a dataset of 16,011 images across 10 disease categories, the model undergoes rigorous preprocessing, augmentation, and optimization. Real-world testing validates its effectiveness, offering farmers a convenient tool for on-site disease diagnosis, potentially revolutionizing agricultural practices.
Describe alternatives you've considered.
NA
Add any other context or screenshots about the feature request here.
No response