• S Priya Darshini
• Mythreyi G
• Nithya Shabari Kannan
• Danush Sridhar, Yasha B P
• Dr Kavitha R, Dr MS Nidhya

Early identification of plant diseases is crucial for decreasing losses in agricultural product output and quantity. It's difficult to keep track of plant diseases by hand. It needs a lot of effort, as well as plant disease knowledge and extensive processing time. There are a variety of plants and flowers that may be beneficial or have medical properties. And it's impossible to identify them all. As a result, image recognition is employed for all plant, flower, and plant disease detections. Image recognition involves the steps like image acquisition, image pre-processing, and classification. This paper discusses how the MobileNet CNN model is utilized via transfer learning to identify the images of plant leaves and flowers.

plant diseases, MobileNet, CNN, transfer learning

" IDENTIFICATION OF PLANT, FLOWER AND DETECTION OF PLANT DISEASE USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.213-217, June-2022, Available :http://www.jetir.org/papers/JETIRFM06038.pdf

" IDENTIFICATION OF PLANT, FLOWER AND DETECTION OF PLANT DISEASE USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. pp213-217, June-2022, Available at : http://www.jetir.org/papers/JETIRFM06038.pdf