PLANTBOT: AI AND ROBOTICS FOR AUTOMATED FLORICULTURE

G. Lykokanellos, A. Liopa-Tsakalidi, G. Salachas, V. Thomopoulos and I. Lagogiannis

International Journal of Agriculture and Environmental Research, 2025, vol. 11, issue 03

Abstract: Floriculture is undergoing a significant transformation with the integration of automation, artificial intelligence (AI), and Internet of Things (IoT) technologies to address rising global demand, labor shortages, and sustainability challenges. This paper presents PlantBot, a fully automated robotic nursery system designed to optimize the cultivation of high-value ornamental and edible plants in controlled environments. The system combines robotic arms, autonomous guided vehicles (AGVs), machine vision, IoT-based sensors, and cloud-based AI algorithms to automate the entire plant production cycle—from substrate preparation and sowing to harvesting and distribution. PlantBot enables real-time environmental monitoring, plant health diagnostics, and adaptive resource management, significantly increasing productivity, improving product consistency, and reducing labor costs and environmental impact. Through pilot implementation in a semi-industrial greenhouse, the system demonstrated its potential to revolutionize nursery operations and set a scalable model for future sustainable floriculture and edible plant production.

Keywords: Agribusiness; Crop Production/Industries (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:ags:ijaeri:362679

DOI: 10.22004/ag.econ.362679

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