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An IoT Based Helopeltis Sp Pest Control System

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Digital-for-Development: Enabling Transformation, Inclusion and Sustainability Through ICTs (IDIA 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1774))

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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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Authors and Affiliations

  1. University of Rwanda, CST Campus Nyarugenge, Kigali, Rwanda

    Kannole E. Veronica & Rushingabigwi Gerard

  2. State University of Zanzibar, Zanzibar, Tanzania

    Diwani Abubakar

Authors
  1. Kannole E. Veronica
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  2. Rushingabigwi Gerard
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  3. Diwani Abubakar
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Corresponding author

Correspondence to Kannole E. Veronica .

Editor information

Editors and Affiliations

  1. University of Johannesburg, Johannesburg, South Africa

    Patrick Ndayizigamiye

  2. University of Johannesburg, Johannesburg, South Africa

    Hossana Twinomurinzi

  3. University of Mpumalanga, Mbombela, South Africa

    Billy Kalema

  4. University of Johannesburg, Johannesburg, South Africa

    Kelvin Bwalya

  5. University of Mpumalanga, Mbombela, South Africa

    Mncedisi Bembe

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Veronica, K.E., Gerard, R., Abubakar, D. (2023). An IoT Based Helopeltis Sp Pest Control System. In: Ndayizigamiye, P., Twinomurinzi, H., Kalema, B., Bwalya, K., Bembe, M. (eds) Digital-for-Development: Enabling Transformation, Inclusion and Sustainability Through ICTs. IDIA 2022. Communications in Computer and Information Science, vol 1774. Springer, Cham. https://doi.org/10.1007/978-3-031-28472-4_12

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  • DOI: https://doi.org/10.1007/978-3-031-28472-4_12

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  • Online ISBN: 978-3-031-28472-4

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