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  3. Volume 11, Number 4, 2024
  4. Revolutionizing tomato pest management: Synergy of Deep Learning, IoT, and Precision Agriculture

Revolutionizing tomato pest management: Synergy of Deep Learning, IoT, and Precision Agriculture

MMC.
2024;
Volume 11, Number 4
: pp. 1167–1178
https://doi.org/10.23939/mmc2024.04.1167
Received: February 12, 2024
Accepted: November 09, 2024

Zarboubi M., Bellout A., Chabaa S., Dliou A.  Revolutionizing tomato pest management: Synergy of Deep Learning, IoT, and Precision Agriculture.  Mathematical Modeling and Computing. Vol. 11, No. 4, pp. 1167–1178 (2024)

Authors:
  1. M. Zarboubi
  2. A. Bellout
  3. S. Chabaa
  4. A. Dliou
1
LISAD, National School of Applied Sciences, Ibn Zohr University, Agadir, Morocco
2
LISTI, National School of Applied Sciences, Ibn Zohr University, Agadir, Morocco
3
LISAD, National School of Applied Sciences, Ibn Zohr University, Agadir, Morocco; I2SP Team, Faculty of Sciences Semlalia, Cadi Ayyad University, Marrakech, Morocco
4
LISTI, National School of Applied Sciences, Ibn Zohr University, Agadir, Morocco; IMIS, Faculty of Applied Sciences, Ibn Zohr University, Agadir, Morocco

The increasing worldwide demand for agricultural goods, particularly tomatoes, underscores the need for effective pest control.  Key pests such as Whiteflies, Fruit Fly, and Helicoverpa Armigera pose significant threats to tomato crops.  This research proposes a novel approach by integrating modern technologies such as deep learning and the Internet of Things (IoT) to revolutionize traditional pest management methods.  Using a portable Pest Counting Device equipped with the YOLOv8 deep learning model on a Raspberry Pi 4B, coupled with the Firebase IoT platform, facilitates instant surveillance of pheromone traps.  This integration enables farmers to make informed decisions and optimize pest control efforts.  By leveraging the synergy of advanced technologies, farmers can potentially increase crop yields while reshaping conventional pest management techniques.  This holistic approach not only gives farmers more control but also diminishes the environmental repercussions linked with conventional pest control methods, highlighting how technology can advance sustainability in agriculture amid persistent pest issues.

precision agriculture
tomato pests
IoT (Internet of Things)
deep learning
pest management
pest detection
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