Deep Learning Techniques for Automation and Industrial Applications

2Chili Leaf Classification Using Deep Learning Techniques

Chenchupalli Chathurya^*, Diksha Sachdeva and Mamta Arora

Computer Science and Engineering, Manav Rachna University, Faridabad, India

Abstract

Agriculture is of paramount importance in everyone’s life. Crops and plants play a huge role in sustaining life, and taking care of crops and plants is both important and difficult. So, to detect diseases in plants, this research paper is formulated to determine whether the plant is healthy or not. The dataset consists of chili plant leaves collected from one of the fields located in Andhra Pradesh, India. Many image classification models as well as transfer learning models have been applied. Moreover, deep learning models like convolutional neural network (CNN) and transfer learning models like InceptionV3 and VGG16 have been applied with and without data augmentation. The most successful model was found to be CNN with data augmentation, which showed an accuracy of 90% and also predicted almost all the testing images correctly. The accuracy of the model can be improved by increasing the size of the dataset.

Keywords: CNN models, transfer learning, machine learning, deep learning, AlexNet, InceptionV3, VGG16, leaves

2.1 Introduction

Humans are dependent on plants for necessities, from food to clothes. Thus, one needs to take care of plants. Although humans are aware of the distinctness of leaves, there should be a way to figure out a disease before a plant becomes susceptible ...