Automated Plant Recognition System with Geographical Position Selection for Medicinal Plants

Algorithm 3

Image processing-based nearest plant detection.

	Step 1: Images of the leaf are taken with a high-resolution camera.
	Step 2: The images are converted to jpeg format to process them to extract information.
	Step 3: Android Studio is used as a platform to design the application. MATLAB has to be installed in the system.
	Step 4: The image is first cropped to a specific size as that of the size of our dataset.
	Step 5: It is then converted to grayscale.
	Step 6: A comparison is made with all the leaves from the dataset using the SVM or nntools algorithm.
	Step 7: The image data is uploaded to the database with other information and the importance of the plant.
	Step 8: For each plant species, the geographical locations in the form of latitude and longitude are to be stored in a database.
	Step 9: Google API is used to fetch the nearest location of the species during a search using minimum distance algorithms.