Fruit Counting System for Agricultural Robotics

Overview

Farmers and agri-tech companies required automated fruit yield estimation to plan harvest and optimize logistics. Designed a robotic vision system to count oranges on trees using 3D cameras, depth sensors, and GPS.

Achievements

Enabled precise yield forecasting and reduced manual labor. The system helped farmers make data-driven harvesting decisions.

Responsibilities

• Calibrated 3D cameras in the field and developed a depth-aware detection model to estimate fruit per tree.
• Combined data with drone and satellite imagery for full orchard analysis.
• Delivered a platform with dashboards showing yield distribution and tree health.