Abstract: Farmers suffer losses as a result of crop damage caused by animals and birds during the stages of sowing, seeding, ripening, and harvesting. Traditional methods of controlling bird and animal attacks, such as beating drums, screaming, lighting fireworks, and using reflective materials, are less effective when used on daytime attacks by birds and animals. Surveillance, as is well known, is widely used in a variety of settings, including homes, hospitals, schools, public spaces, farms, and so on. It allows us to keep an eye on a specific area, prevent theft, and provide proof of evidence. Monitoring is critical in the case of farmlands or agricultural grounds to both protect the environment and prevent unauthorized individuals from entering the region area from animals. Image processing techniques, night vision cameras, and IoT technologies will undoubtedly solve these problems. This system is capable of repelling animals from agricultural fields when they attempt to intrude; the system is outfitted with different triggering systems based on animal type. It has a loud noise generator for larger animals like elephants and a rotten egg sprayer for smaller animals like deer and boar. At first, these animal movements will be detected by passive infrared and microwave sensors, which will turn on the camera for image processing following successful animal detection. The primary goal of this work is to increase food production rates, prevent economic losses for farmers due to animal intrusions, and bring a smile to the farmer community.
Keywords: Crop Damage, Animal Attack, Crop protector, Ward-off.
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