Anastasiia Stepanova
Papers
2
Total Citations
8
H-Index
2
About
Anastasiia Stepanova is a rising researcher at the intersection of agricultural robotics and computer vision, whose work is pioneering the automation of specialty crop harvesting. Her primary research areas include robotic manipulation, IoT-enabled systems, and machine vision for precision agriculture. Stepanova’s major contributions center on developing low-cost, practical solutions for the postharvest handling of tomatoes. Her most cited work, "Robotics Solution for Agriculture: Automated and IoT-enabled Tomato Picking and Packing" (2023, 5 citations), introduces a novel, cost-effective system that integrates Internet of Things (IoT) and Machine-to-Machine (M2M) communication to streamline the picking and packing process. Complementing this, her evaluation of computer-vision capabilities for harvesting (2023, 3 citations) provides critical insights by comparing the performance of Intel RealSense D435 and Zivid Two 3D cameras with a YOLO model in both lab and greenhouse conditions. This comparative analysis is vital for advancing reliable fruit detection and localization. Though early in her career, Stepanova’s focused work on accessible automation is laying a practical foundation for the future of smart, sustainable agriculture, addressing a key bottleneck in the food supply chain.
Research Focus
Key Achievements
Top Papers
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