Our Work

I designed a proof-of-concept for an IoT system to help farmers protect their crops from theft. The system uses a solar-powered camera to periodically capture images of a field and applies computer vision algorithms to calculate plant density. By comparing the current density to previous readings, the system can detect sudden, significant drops—indicating a potential theft event—and automatically trigger an alert. This provides a more efficient and automated way for farmers to monitor their assets and improve crop security.

• My Role: System Designer & Computer Vision Engineer
• Technologies Used: Computer Vision, IoT, Machine Learning
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To address challenges in sustainable agriculture, I led the design and conceptualization of Agrist, an integrated mobile application aimed at empowering farmers with data-driven tools. The system was designed to make farm management easier and more efficient by providing features for real-time crop monitoring, predictive analytics for planting schedules, and personalized recommendations for resource management (like fertilizer and water). A key feature was a built-in consultation platform to connect farmers directly with agricultural experts, helping to improve crop yields and promote sustainable practices.

• My Role: Project Lead & System Designer
• Technologies Used: System Design (SDLC), UI/UX Prototyping, Mobile Application Concept
• View Project Concept