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Startup program for youth (SPY)'s Projects

identification-des-mal-de-plantes- icon identification-des-mal-de-plantes-

Identification of plants through plant leaves on the basis of their shape, color and texture features using digital image processing techniques

people-counter-1 icon people-counter-1

A people counter written in python and using openCV - it utilizes background subtraction and can work in real time.

plant-disease-detection icon plant-disease-detection

Plant Disease Detection is one of the mind-boggling issues when we talk about using Technology in Agriculture. Although researches have been done to detect whether a plant is healthy or diseased using Deep Learning and with the help of Neural Network, new techniques are still being discovered. For Fewer Data Classical Machine Learning Models are said to outstand given the data is pre-processed well. On the same theory here is my approach for Detecting whether a plant leaf is healthy or unhealthy by utilizing the classical Machine Learning Models, Pre-processing the Image Data. The data was fed to 7 Machine Learning Models with 10 fold cross-validation out of which Random Forest Classifier outperformed all the other models giving an accuracy of 97% on the test set.

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