• AVESH ALI KHOKHAR
• SURAJ YADAV
• FARID KHAN
• SHRINIDHI GINDI

Plant species recognition from images is challenging due to a large diversity of plants, variation in orientation, viewpoint, background clutter etc. In this paper, plant species recognition is carried out with the help of deep learning Convolutional Neural Network approach. CNN has been used since it has outperformed in various image recognition challenges and feature extraction is performed automatically, which takes less time. The proposed model is run for differently epochs and results were recorded. It was observed that the CNN model performed effectively in distinguishing the plant leaf images and achieved 96.95% accuracy.

Convolutional Neural Network (CNN), Image classification, deep learning, Machine learning.

"Plant Species Classification with CNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 5, page no.a236-a240, May-2021, Available :http://www.jetir.org/papers/JETIR2105027.pdf

"Plant Species Classification with CNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 5, page no. ppa236-a240, May-2021, Available at : http://www.jetir.org/papers/JETIR2105027.pdf