Medicinal Plant identification using Machine Learning and Deep Learning | Machine Learning Projects
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- čas přidán 28. 08. 2024
- For code and complete support please contact us
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🌿 *Title:* "Revolutionizing Plant Identification: Deep Learning and ML for Medicine Plants"
📽️ *Video Description:*
Welcome to our CZcams channel! In this video, we're thrilled to introduce a groundbreaking project that merges cutting-edge technology and botanical science. We've developed a Medicine Plant Identification system using deep learning and machine learning, powered by Flask and enhanced with HTML/CSS for a seamless user experience.
🌱 *Project Highlights:*
- 🔍 *Innovative Methodology:* We took inspiration from several IEEE papers and created a unique methodology that outperforms previous works in the field.
- 🔄 *Balanced Dataset:* We've meticulously balanced the dataset using augmentation techniques and have plans for incorporating Generative Adversarial Networks (GANs) in the future.
- 🎨 *Color Thresholding:* Since our input images are primarily green plant photos, we employed color thresholding to extract relevant information.
- 📷 *Image Enhancement:* Our pipeline includes Gaussian blurring, Canny edge detection, erosion and dilation, contour detection, and median filtering to improve image quality.
- 🚀 *Model Variety:* We've implemented a range of deep learning models such as Convolutional Neural Networks (CNNs), ResNet, VGG, MobileNet, and traditional machine learning models like Random Forest, Decision Trees, and XGBoost for robust and accurate plant identification.
- 🌿 *User-Friendly Website:* Our user interface allows users to upload plant images and receive detailed information, including plant name, medicinal properties, chemical components, age, gender, and pregnancy restrictions, along with recommended doses.
Join us as we take you through the entire project, from dataset preparation to model training and the web interface's functionality. We'll showcase the results and the significant performance improvements achieved by our unique methodology.
📞 *Interested in Our Solution?* If you're interested in using our Medicine Plant Identification system for your own projects or have questions, feel free to call us at *808-860-5682* or visit our website: [SmartAI Technologies](www.smartaitech....
👍 *Like* this video if you find this project exciting, and don't forget to *Subscribe* for more content related to AI, deep learning, and innovative applications of technology.
If you have any questions or would like to see more in-depth tutorials about any part of our project, please let us know in the comments below. We'd love to hear your thoughts and suggestions!
Stay tuned for more exciting updates and tech projects from our channel. Thank you for watching!
For code and documentation please contact us
8088605682 (includes watsapp)
Send me source code
Send me source code
now in this image processing can you please let us know the input X, output Y, X_train, X_test, Y_train, Y_test and also how to calculate accuracy,precision,recall,fscore and confusion matrix with detailed explanation please?
please contact us at 8088605682 (includes watsapp we will help you)
How many plants are therw
You got code?
@@vijhey3850 noo you
@@vijhey3850 no you?
actually we provide paid service
for more
please contact us at 8088605682 (includes watsapp we will help you)
Where from you have taken the dataset ? can anyone pls provide me link
From kaggle
it is indian medicinal plant dataset from kaggle
for more
please contact us at 8088605682 (includes watsapp we will help you)
Hello
please contact us at 8088605682 (includes watsapp we will help you)
@@smartaitechnologies7612 Fool , reply after I graduate...