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Smart Farming System Using IoT and AI
Development and Deployment of a Smart Farming system Using Sensors, data analysis, ML and AI to Optimize Yield, Reduce Pesticide and Water Usage.
Computer Vision: Object Detection using AI/ML
Detection and tracking of objects / Animals / Humans using algorithms such as YOLO/ LSTM for real-time computer vision applications.
Smart Solar Energy System using cameras and AI
Monitoring renewable energy systems using Ai and ML modeling, allows to track performance in real-time and identify potential inefficiencies or performance issues. By analyzing data on energy production, environmental conditions, and system parameters, operators can optimize the operation of renewable energy assets to maximize energy yield and profitability.
Assets Management: System Fault Monitoring Using AI and ML
Monitoring and detection of faults in systems to improve reliability and maintenance efficiency.
AI Agent for Pesticide Analysis
AI-driven Solution For Predicting Pesticide Exposure and Health Risks to protect to Promote Safer Sustainable Farming Practices