Leaf Disease Detection using Raspberry Pi.pptx

this is used to analyse the leaf disease detection using raspberrry pi

1. Leaf Disease Detection Using Raspberry Pi By C . Swathi – 24CSERO26 V.L. Ashwin Kumar – 24CSERO02 S. Mari Selvam – 24CSERO17

2. Introduction In recent years, the agricultural sector has increasingly turned to technology to enhance crop management and protect yields from diseases. Leaf diseases pose a significant threat to plant health, leading to reduced agricultural productivity and economic losses. This project leverages the capabilities of the Raspberry Pi, a compact and affordable single-board computer, to develop an efficient leaf disease detection system. By integrating image processing and machine learning algorithms, this system can analyze leaf images in real-time to identify disease affected part of the leaf with high accuracy .

3. Software Requirement Raspberry Pi Imager Python Hardware Requirement Raspberry Pi Board OV5647 Camera Module for Raspberry Pi

4. Project Explanation Using Raspberry pi, a low-cost and compact computer acts as the central processing unit of the system. Uses the Raspberry pi Camera Module to capture high-quality images of plant leaves. These images are serves as the input for the disease detection process.

5. The captured images are preprocessed using python’s OpenCV library to prepare them for analysis. Preprocessing steps typically include resizing, converting to grayscale or HSV color space, and noise reduction to improve the accuracy of the analysis . And then we use K-means clustering is applied to segment the leaf image into different colour clusters. The segmentation process helps isolate regions of interest, such as spots or discolorations on the leaf that may indicate disease.

6. Each pixel is assigned to a cluster, allowing for the identification of the most prominent colors and textures, which are often indicative of diseased areas . After segmentation, the color is extracted from the diseased regions. This feature is used to analyze the distinguish between healthy and diseased leaf areas .

7. ARCHITECTURE DIAGRAM Camera Module Raspberry Pi Output Capturing the image and send it to the Raspberry pi Process the image and display the output.

8. Conclusion The leaf disease detection system using Raspberry Pi and Python offers an efficient, cost-effective, and portable solution for identifying plant diseases in real-time. By combining the Raspberry Pi's affordability and versatility with Python's powerful image processing libraries, such as OpenCV , this system automates the detection of leaf diseases through techniques like K-means clustering and color segmentation.

9. THANK YOU!!!