1. 11 January 2024
1
Team Members
1) Selvachidambaram s
2) Haribalasudhanv
3) Dayal Anand U
Guided by
Dr.A,Sivaprakash
Associate professor
Batch – 6
2. 11 January 2024
2
OBJECTIVE
➢ To Create a fully automated system using Arduino for efficient and autonomous pest
control.
➢ Developing a system utilizing Arduino microcontrollers to automatic pest
identification and control.
➢ Integrate a Image sensor with the Arduino to capture real-time images of pests in
the designated area.
➢ Implement intelligent decision-making algorithms to distinguish between pests and
non-target entities, minimizing false positives.
3. 11 January 2024
3
Motivation
➢ Enhanced Precision in Pest Identification:
Integration of an image sensor enables visual identification of pests,
enhancing the system's ability to accurately recognize and categorize different types of
pests.
➢ Informed Decision-Making Algorithms:
Real-time images empower more sophisticated decision-making algorithms,
allowing the system to make informed choices based on visual data, leading to targeted
and effective pest control measures.
➢ Reduced False Positives and Improved Precision:
Visual data helps reduce false positives, enabling the system to discern
between pests and non-threatening elements in the environment. This enhances the
overall precision of the pest control system.
➢ Data-Driven Monitoring and Optimization:
Continuous image capture provides valuable data for monitoring pest
activity trends, allowing for data-driven analysis. This information aids in optimizing
pest control strategies over time, improvingoverall system efficiency.
4. 11 January 2024
4
Literature survey
❖ Image Processing for Pest Detection:
Explore existing literature on image processing techniques for pest detection.
Investigate studies that employ image sensors and algorithms for identifying and
classifying pests. Pay attention to methodologies used in distinguishing pests from non-
target objects, and consider approacheslike machine learning for improved accuracy.
❖ Arduino-BasedAutomation in Agriculture:
Conduct a literature review on the application of Arduino or similar
microcontrollers in automated agricultural systems. Examine how such systems have
been utilized in pest management, considering both the hardware and software
aspects. Identify any challenges, solutions, or optimizationsproposed in the literature.
❖ EnvironmentalImpact and Sustainable Pest Management:
Investigate literature that discusses the environmental impact of various pest
control methods. Explore studies that emphasize sustainable and eco-friendly pest
management practices. Understand the ecological implications of different approaches
and how integrating technologies like Arduino and image sensors can contribute to
more responsible pest control.
6. 11 January 2024
6
TOOLS REQUIRED
❖ UV rays
❖ Arduino
❖ Image Sensor
❖ LED
❖ Nozzle
❖ DC Motor
❖ Pesticide Storage Tank
❖ Power Bank
7. 11 January 2024
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1. Literature
Survey
2. Design
3. Activity 1
4. Activity 2
5 Activity 3
6 Activity 4 and
Result
Validation
7. Results and
Report
Preparation
8. 11 January 2024
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REFERENCES
1. HASSAN M. ABDULREHMAN, ABDULLAHI L. AMOO, BUBA U. MUHAMMAD,
“Design and Construction of Electronic Pest Repellent for Use in Homes and
Farmland”, Iconic Research and Engineering Journals, Vol 3 Issue 1 pp. 400-407,
July 2019.
2. S R NINGSIH, AHS BUDI, A T NUGRAHA AND T WINATA, “Automatic farmer pest
repellent with Arduino ATmega2560 based on sound displacement technique S R
Ningsih”, IOP Conf. Series: MaterialsScience and Engineering, pp. 1- 9, July 2019
3. KRISNA DWI NURIKHSANI, JONAH MUPITA, “Benefits and Effectiveness of
Automatic Farmer Pest Repellent”, ASEAN Journal of Science and Engineering, Vol
2. issue 3. pp. 243 - 248. October 2021.
4. D.K. CHATURVEDI, “Intelligent e- Pest Repellent System”, International Journal of
Engineering Research and Applications, Vol. 11, Issue 5, (Series-VII) , pp. 21-24,
May 2021.
