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2023 | OriginalPaper | Chapter

An IoT Based Helopeltis Sp Pest Control System

Authors : Kannole E. Veronica, Rushingabigwi Gerard, Diwani Abubakar

Published in: Digital-for-Development: Enabling Transformation, Inclusion and Sustainability Through ICTs

Publisher: Springer Nature Switzerland

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Abstract

Agriculture is the main activity of residents in the southern part of Tanzania. Cashew nuts being the most cash crop brought by Portuguese, has never been yielding the optimal yields due to the existence of pests especially Helopeltis Sp. The Internet of Things (IoT) based Pest Control system aims to implement a system which will be able to capture, identify and store the Helopeltis pest using Google Colab and Proteus simulation tools. Pest recognition process has been done in the Google Colab Pro platform using tensor-flow library, python 3.7 programming language and Faster-RCNN InceptionV2 model. The accuracy of 97.87% was obtained while the mechanical part of wiping pests into container, wiping them from the top of the container lid to the environment and farmer notification SMS (Short Message Service) has been facilitated using Proteus. The control of the cashew nut pests will now be in a green way by discouraging the use of pesticides which also destroys pollinators and degrades the quality of the soil, the crop and the environment. It has been found that image training requires adequate resources including high performance graphic card, memory and processing power, the use of Google Colab has catered for all of them. Also it has been noted that the more the images are used for the training the more accuracy the detection will be.

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Title: An IoT Based Helopeltis Sp Pest Control System
Authors: Kannole E. Veronica
Rushingabigwi Gerard
Diwani Abubakar
Publisher: Springer Nature Switzerland
Book: Digital-for-Development: Enabling Transformation, Inclusion and Sustainability Through ICTs
Print ISBN: 978-3-031-28471-7

Electronic ISBN: 978-3-031-28472-4

Copyright Year: 2023
DOI: https://doi.org/10.1007/978-3-031-28472-4_12

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