IoT-Enabled Crop Management: Monitoring and Safeguarding Agricultural Resources for Optimal Yield
摘要
Crop invasion by animals in parts of India has been a persistent problem for then farmers, leading to significant crop damage and financial losses. Traditional methods like physical barriers are often expensive, ineffective, and can create human–animal conflict. This work proposes a cost-effective, integrated smart agriculture system that offers a sustainable and ethical alternative. The system combines intelligent animal deterrence with yield optimization. Motion sensors enable targeted detection of approaching animals, triggering non-lethal deterrents like sound alerts and light flashes to discourage entry without harming wildlife. Additionally, environmental sensors provide data for optimized irrigation, maximizing crop yield. Cloud-based data analysis offers personalized recommendations to farmers and assist in system improvement. This approach promotes human–animal harmony by avoiding animal injuries while maximizing yield, offering sustainable solution for Indian agriculture.