Robot Learns to Pick Ripe Tomatoes Without Bruising Them
A new robotic system combines deep learning recognition with optimised grasp planning to harvest tomatoes in dense clusters with minimal ...
A new robotic system combines deep learning recognition with optimised grasp planning to harvest tomatoes in dense clusters with minimal ...
Researchers developed lightweight neural networks and a new RGB-D dataset that let robots detect accurate grasps for fruits of varying ...
Researchers at Central South University have created a hybrid deep learning model that lets mobile agricultural robots accurately forecast pollutant ...
A major review shows how AI, sensors, satellite and drone imaging, digital twins and field robots are converging to cut ...
A new RGB-D perception-to-action framework called E-YOLOv11-RGBD raised robotic greenhouse harvesting success from 51.7 to 92.5 percent by converting AI ...
A foundation model-based AI system called WeedNet identifies 1,593 weed species with 91.02 percent accuracy and reaches 97.38 percent accuracy ...
A three-camera ground robot with a custom multi-RGBD SLAM framework now maps mature maize fields in real time, achieving 100 ...
Researchers have developed a Sichuan pepper picking robot that combines multi-task visual perception, PCA-based pose estimation, and a flexible swallowing ...
A comprehensive new survey maps how machine vision and deep learning are transforming pest detection, yield estimation, robotic harvesting, quality ...
A comprehensive review shows that artificial intelligence, from hyperspectral sensing and climate-driven forecasting to autonomous drones and ground robots, is ...
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© 2025 Scienmag - Science Magazine