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Moving Robot and Image Processing based Analysis for Tomato Growth Measurement

Author(s):

Aayesha M. Shaikh , Karmaveer Bhaurao Patil College of Enfineering, Satara.; V. S. Shingate, Karmaveer Bhaurao Patil College of Enfineering, Satara.

Keywords:

Agriculture, Field Robotics, Growth Measurement, Image Processing: Image Acquisition, Pre-Processing, Segmentation, Noise Removal, Feature Extraction, Tomato Growth

Abstract

Crop grow measurement technologies are important to increase the farm productivity to fulfil the increasing demand of food of growing population. Detection and measurement of fruit volume are useful for forecasting and harvesting applications. Some environmental challenges such as lighting conditions or occlusions make the fruit detection difficult. Our approach is based on features extraction from images using suitable methods of image processing. Then images being described as a number of pixel are used to estimate the fruit volume. This paper tries to develop a robotic system to analyze the growth of the tomato fruit by determining fruit volume using image processing.

Other Details

Paper ID: IJSRDV6I100429
Published in: Volume : 6, Issue : 10
Publication Date: 01/01/2019
Page(s): 849-852

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