Animal And Fire Detection And Crop Protection Using Acoustic Waves

• Author(s):

  M.Lalitha | M.Abilash | S.Jeevanantham | G. Manibharathi | M.Praveenkumar

• Keywords:

• Abstract:

  Crop Damage From Wild Animals And Accidental Fires Presents A Major Challenge For Farmers, Causing Significant Economic Losses. To Address This Issue, The Animal And Fire Detection And Crop Protection System Using Acoustic Waves Has Been Developed To Offer An Effective, Automated Solution For Safeguarding Crops. The System Employs A NODE MCU Microcontroller, Which Serves As The Central Processing Unit, Along With A Flame Sensor, Ultrasonic Sensor, And Passive Infrared (PIR) Sensor To Detect Both Animal Intrusions And Fire Incidents In Agricultural Fields. The Sensors Work Together To Monitor And Protect Crops Efficiently. The PIR Sensor Detects The Presence Of Animals By Identifying Movement In The Vicinity Of The Crops, While The Ultrasonic Sensor Measures The Distance Between The Animals And The Crops. When An Animal Is Detected Within A Predefined Proximity, The System Activates An Acoustic Wave Generator To Emit High-frequency Sounds That Deter The Animals From Approaching, Effectively Protecting The Crops Without Causing Harm. At The Same Time, The Flame Sensor Continuously Monitors The Environment For Signs Of Fire. It Can Detect The Presence Of Flames Early, Enabling The System To Alert Farmers And Trigger Automatic Firefighting Mechanisms If Necessary, Helping To Minimize Potential Crop Damage. The NODE MCU Microcontroller Processes Data From All The Sensors In Real-time, Ensuring A Rapid Response To Any Threat Detected By The System. The System Is Cost-effective, Simple To Deploy, And Requires Minimal Human Intervention. It Is An Ideal Solution For Enhancing Crop Security, Particularly In Rural And Remote Areas Where The Risk Of Animal Damage And Accidental Fires Is High. The Animal And Fire Detection And Crop Protection System Provide A Sustainable And Reliable Approach To Protecting Crops From These Two Significant Threats. Technological Improvements In The Areas Such As Internet Of Things (IoT), Artificial Intelligence, Applications Have Become Smarter And Connected Devices Give Rise To Their Exploitation If Environment Throughout The World. Increase In Generation Of Data By These Systems, Machine Learning Techniques Can Be Applied To Further Enhance The Intelligence Andthe Capabilities. The Field Of Sustainable Environment And Renewable Energy Has Attracted Many Researchers And We Have Come Up With A New Approach In Saving Energy As Well As Predicting Wild Fires With This Approach That Uses IoT In Getting Data And Handling Data, Further Prediction Using Machine Learning. In This Review, Forest Fires Is Considered To Be An Umbrella Term That Covers Prediction Of Happening, Real-time Monitoring And Prevention/detection Of Forest Fires. These Are Rare But Very Significant Events. This Paper Describes The Development Of Machine Learning And IOT System That Enables Real-time Data Visualization Of The Factors That Help In Increase In Risk Of Forest Fire That Is Generated By The Forests.

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Other Details

• Paper id:

  IJSARTV11I5103593

• Published in:

  Volume: 11 Issue: 5 May 2025

• Publication Date:

  2025-05-18

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