Deep Learning for Plant Species Classification

Project Code :TCMAPY301

Objective

The main objective of this to classify the different plant species using Convolution Neural Network (CNN) of deep learning.

Abstract

Protection of biodiversity is quite essential and for this purpose, we should know more about the species Identification of plant species by using conventional hand-crafted features is complex. It is difficult for non-experts to remember the specific botanical terms. The idea of automatic identification of plant species is approaching reality. Machine learning and deep learning play an important role in this matter. Hence, we are implementing deep learning based Convolutional Neural Networks (CNN) that which extract the features from leaf images and it is used for the classification of plant species. The deep learning methods outperform all handcrafted methods.

Keywords: plant species classification, CNN, deep learning

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

HARDWARE SPECIFICATIONS:

  • Processor: I3/Intel
  • Processor RAM: 4GB (min)
  • Hard Disk: 128 GB

SOFTWARE SPECIFICATIONS:

  • Operating System: Windows 7+
  • Server-side Script: Python 3.6+
  • IDE: PyCharm
  • Libraries Used: Pandas, Numpy, os,TensorFlow,Flask.

Learning Outcomes

  •          Testing techniques
  •          Error correction mechanisms
  •          What type of technology versions is used?
  •          Working of Tensor Flow
  •          Implementation of Deep Learning techniques
  •          Implementation of Machine Learning techniques
  •          Working of CNN algorithm
  •          Working of SVM algorithm
  •          Building of model creations
  •          Scope of project
  •          Applications of the project
  •          About Python language
  •          About Deep Learning Frameworks
  •          Use of Data Science
  •          Practical exposure to

o   Hardware and software tools

o   Solution providing for real time problems

o   Working with team/individual

o   Work on creative ideas

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