Plant Leaf Disease Detection Using Image Processing and Machine Learning

Plant Leaf Disease Detection Using Image Processing and Machine Learning

Ms. Radha Gondchor1, Ms. Manisha Mahule2, Ms. Tejaswini Kawale3,  Ms. Pallavi Dhande4, Ms. Sufia Mohankar5

1Department Of Information Technology, Tulsiramji Gaikwad Patil College Of Engineering And Technology,Nagpur

2Department Of Information Technology, Tulsiramji Gaikwad Patil College Of Engineering And Technology,Nagpur

3Department Of Information Technology, Tulsiramji Gaikwad Patil College Of Engineering And Technology,Nagpur

4Department Of Information Technology, Tulsiramji Gaikwad Patil College Of Engineering And Technology,Nagpur

5Department Of Information Technology, Tulsiramji Gaikwad Patil College Of Engineering And Technology,Nagpur

Under the supervision of

Prof. Poonam Keche

Department Of Information Technology

Tulsiramji Gaikwad Patil College Of Engineering And Technology , Nagpur

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Abstract - This research explores an innovative approach for automated detection of plant leaf diseases, leveraging the power of Image Processing, Machine Learning (ML) and Convolutional Neural Networks (CNNs). The study employs Python programming to develop a robust and efficient system for identifying and classifying various plant diseases based on leaf images. The proposed model utilizes a dataset of labeled images to train the CNN, enabling it to learn distinctive features associated with different diseases.

Keywords—Machine Learning, Convolution Neural Network (CNN),Image Processing .