Machine Learning Comparative Analysis for Plant Classification

  • Elbrus ImanovEmail author
  • Abdallah Khaled Alzouhbi
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 896)


Nowadays, digital image processing, artificial neural network and machine visualization have been pettishly progressing, and they cover a significant side of artificial cleverness and the rule among human beings and electro-mechanical devices. These technologies have been utilized in a wide range of agricultural operations, medicine and manufacturing. By this research the preparation of some functions has been conducted.

In this paper we introduce the classification of maize leaves from pictures that reveal many conditions, opening among pictures, by pre-processing, taking out, plant feature recognition, matching and training, and lastly getting the outcomes executed by Matlab, neural network pattern recognition application. These given features are separated to leaf maturity and picture interpretations, rotary motions and calibration, and they are calculated to develop an approach that gives us better classification algorithm results. A plant scientist may be introduced with a plant for recognition of its classes revealed in its natural home ground, to gather an in-depth recognition.


Artificial neural network Digital image processing Machine visualization classification K-nearest neighbor Support vector machine Machine learning 


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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Computer EngineeringNear East UniversityMersin 10Turkey
  2. 2.Department of Water RecyclingMachha, AkkarLebanon

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