collaborators

7 papers

cs.RO2026

Force Sensor-Based Picking Pattern Analysis and Two-Jaw Gripper Design for Cherry Tomato Robotic Harvesting in Greenhouse

Rajmeet Singh, Manveen Kaur, Yusuf Adamu +1

Robotic harvesting of cherry tomatoes in greenhouses remains challenging due to dense fruit clusters, delicate skin, and the need for gentle yet effective detachment. This study pr…

cs.RO2026

MARTS: A Modular Agricultural Robot for Targeted Spraying of Diseased Tomato Plants in Greenhouses

Rajmeet Singh, Manveen Kaur, Yusuf Adamu +2

Broadcast spraying remains the dominant method of disease control in greenhouse tomato production, yet it treats healthy and diseased tissue alike, exposes workers to hazardous aer…

cs.CV2026

Recent Advances in Agentic Agri-Robotic Phenotyping: A Perspective Review from Fragmented Multimodal Sensing to Unified PhenoAgent Intelligence

Muhammad Owais, Ehtesham Iqbal, Samee Ullah Khan +3

This review examines the evolution of plant phenotyping from conventional manual trait measurement to high-throughput, robotic, and artificial intelligence-driven crop monitoring.…

cs.CV2026

AgriScope: Pixel-Grounded Multimodal Understanding for Agricultural Images

Abderrahmene Boudiaf, Mohamad Alanssari, Irfan Hussain +1

Agricultural image understanding requires fine-grained recognition of plant diseases, pests, crop structures, and botanical species under complex real-world conditions. Despite rec…

cs.CV2026

AerialYield-B2D: A Greenhouse Blueberry Dataset with Five-Stage Ripeness Masks and Fruit Counts

Iyyakutti Iyappan Ganapathi, Afeefa Azam, Muhammad Owais +2

Blueberry ripeness is judged by berry colour, cluster composition, and the distribution of maturity stages within a plant, however, public green house image resources with dense ri…

cs.CV2026

YOLO26-RipeLoc Lite: A lightweight architecture for tomato ripeness detection and picking point localization in greenhouse robotic harvesting

Rajmeet Singh, Manveen Kaur, Shahpour Alirezaee +1

In greenhouse tomato production, automated harvesting requires accurate detection of ripe tomatoes, ripeness classification, and precise picking-point localization for robotic end-…

cs.CV2026

AgriChat: A Multimodal Large Language Model for Agriculture Image Understanding

Abderrahmene Boudiaf, Irfan Hussain, Sajid Javed

The deployment of Multimodal Large Language Models (MLLMs) in agriculture is currently stalled by a critical trade-off: the existing literature lacks the large-scale agricultural d…