• Avinash G M
• Dr. Vinay Hegde

The paper outlines a successful strategy for heightening the sound amplitude of recorded acoustic signals emitted by Triboium confusum beetles within wheat grains. These signals were captured by sensors situated 10 cm away from adult beetles. Employing both IIR and FIR band pass filters, the received signals underwent meticulous processing aimed at enhancing their clarity and intensity. MATLAB software served as the primary tool for executing these signal processing tasks, leveraging its capabilities in handling intricate algorithms with precision. This innovative approach not only demonstrates a practical method for augmenting the acoustic signals of beetles but also offers insights into their communication patterns and behaviours within agricultural contexts. By enhancing the clarity and intensity of these signals, this methodology holds promise for advancing research in pest management strategies and understanding insect dynamics within agricultural ecosystems

IIR and FIR band pass filters.

"Optimizing Beetle Identification in Wheat Grain Via IIR And FIR Noise Filtering Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.j44-j49, April-2024, Available :http://www.jetir.org/papers/JETIR2404904.pdf

"Optimizing Beetle Identification in Wheat Grain Via IIR And FIR Noise Filtering Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppj44-j49, April-2024, Available at : http://www.jetir.org/papers/JETIR2404904.pdf