Audio signal analysis using a modified forward-forward algorithm with enhanced segmentation for soil pest detection.

ABSTRACT: The presence of pests in soil costs the agriculture industry billions of dollars every year since it reduces crop yields and raises preventive costs. The pest detection in soil is vital for maintaining healthy crops, optimizing pest management, and ensuring economic and ecological sustainability. There are several invasive and non-invasive methods available for pest detection, where invasive methods are costly as well as time-consuming compared to the non-invasive methods. From various non-invasive methods, audio-based pest detection in the soil is one of the effective, low-cost tools. The generation of pest sounds is random in nature and contains a lot of inactive and background noisy portions in the recorded sound signals. To reduce the unnecessary computations in analyzing the inactive

SUBMITTER: Dash TK 

PROVIDER: S-EPMC12391374 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature