Abstract: “Agriculture is backbone of our country.” Threats to agriculture can be considered as threats to economy as well. Crops are reducing because of the major attack of animals, which causes crop damage. Crop damage by animals, resulting in lower yields, in turn affects farmers' mental health too. The most commonly practised methods which are followed by farmers are not feasible and it will not be able to shoo the wild animals. So, this project mainly detects animals and, upon detection, generates corresponding sounds for different animals like monkeys, elephants, and boars. The expansion of cultivated land into former wildlife habitats poses a major threat to crop yields in India. Human-wildlife conflict intensifies as animal attacks, particularly crop raiding, become a significant challenge for farmers. In addition to pests and natural calamities, animals cause substantial damage, which results in lower yields. The methods followed by farmers to mitigate these issues prove ineffective, and hiring guards for continuous crop surveillance is economically unfeasible. Striking a balance between protecting crops and ensuring the safety and security of both humans and animals is imperative. Developing non-harmful strategies to divert animals from crops becomes essential in addressing this multifaceted challenge.
Keywords: YOLO algorithm, LIBROSA, RASPBERRY PI, Internet of Things
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DOI:
10.17148/IJARCCE.2024.134221
