Agriguard: Automated Pest Classification for Agriculture

Author(s)	Atharva Chile, Pratik Chowdhari, Abhishek Hadape, Kaustubh Jangam, Prof.Priti Rathod
Country	India
Abstract	Agriculture is vital to economies like India’s, where it significantly impacts GDP. However, pests such as insects and rodents threaten crop yield, leading to major losses. Early pest detection is crucial for maintaining crop health and preventing widespread damage. By assessing crop conditions early, farmers can identify infestations and take timely action, reducing the need for excessive pesticide use. This approach not only protects crops but also promotes sustainable farming by minimizing environmental harm. Early detection thus plays a key role in ensuring food security, economic stability, and ecological balance in modern agriculture.
Keywords	Machine Learning, Feature Extraction, Image Dataset, Deep Learning, Pesticides.
Field	Engineering
Published In	Volume 16, Issue 2, April-June 2025
Published On	2025-06-12
DOI	https://doi.org/10.71097/IJSAT.v16.i2.6158
Short DOI	https://doi.org/g9qqwh

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