Papers
1
Total Citations
4
H-Index
1
About
Annanya is a researcher at the forefront of agricultural robotics, with a focus on developing low-cost, energy-efficient autonomous systems for precision farming. Her most cited work, "A Proposal of FPGA-Based Low Cost and Power Efficient Autonomous Fruit Harvester" (2020, 4 citations), introduces a groundbreaking prototype that integrates computer vision, deep learning, and a novel end-effector design to perform fruit plucking. This paper highlights her contributions to creating accessible, power-savvy robotic solutions that address labor shortages and sustainability in agriculture. By combining FPGA-based processing with advanced localization and odometry, Annanya’s work demonstrates how intelligent hardware can reduce energy consumption while maintaining high accuracy in fruit detection and manipulation. Her research bridges the gap between theoretical AI and practical field deployment, offering a scalable model for future autonomous harvesters. Though early in her career, Annanya’s innovative approach to merging low-cost hardware with sophisticated algorithms positions her as a promising voice in agricultural robotics, with potential to reshape how we think about efficient, eco-friendly food production.
Research Focus
Key Achievements
Top Papers
- 1