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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…