Title: An experimental analysis of image extract algorithm in UWB communication medium to make a smart pesticide sprayer for cassava agriculture crops

Authors: Siddhanta Borah; R. Kumar; Khalid Mohd Ibrahimi; Rituraj Bhattacharjee

Addresses: Department of Electronics and Instrumentation Engineering, National Institute of Technology Nagaland, Nagaland, India ' Department of Electronics and Instrumentation Engineering, National Institute of Technology Nagaland, Nagaland, India ' Department of Electronics and Instrumentation Engineering, National Institute of Technology Nagaland, Nagaland, India ' Department of Electronics and Instrumentation Engineering, National Institute of Technology Nagaland, Nagaland, India

Abstract: This paper presents an ultra-wide band (UWB) based hardware prototype model to study a novel image extract algorithm (IEa). The IEa is a less complex algorithm proposed to solve the issue which arises due to the attack of pests in cassava agriculture land in eastern part of India, Nagaland. The hardware prototype model is made around Raspberry Pi 3 B+ board that supports 2.4 GHz and 5 GHz IEEE 802.11.b/g/n/ac wireless local area network (WLAN). The hardware system is able to spray pesticides automatically and uniformly (using nozzle system) once the pest is detected. During implementation of this device using IEa algorithm in agriculture field, it is found that time consumption is less as compared to other similar existing algorithms to protect agriculture crops from pest. The total processing time of the algorithm consumed by the device for detecting pests in an agriculture field was found to be 17.10 seconds.

Keywords: Raspberry Pi 3; image processing; image extract algorithm; IEa; MATLAB 2018R; UWB-based hardware device.

DOI: 10.1504/IJUWBCS.2021.119135

International Journal of Ultra Wideband Communications and Systems, 2021 Vol.4 No.3/4, pp.161 - 169

Received: 24 Jul 2020
Accepted: 08 Jan 2021
Published online: 24 Nov 2021 *

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