2025/03/09 by Simon Pearson · 1 voice
Agricultural and Biological Sciences · Environmental Science · #Smart Agriculture and AI #Greenhouse Technology and Climate Control #Remote Sensing in Agriculture
paper · pdf · doi:10.1080/14620316.2025.2475401
openalex publication_date 2025/03/09 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/02
Horticultural crop production systems are being transformed by the advent of artificial intelligence (AI). The pace of technology development is extraordinary. The well-known large language model (LLMs) CHAT-GPT was only released in November 2022, yet it and analogous systems are transforming lives, industry and education. Prior to the advent of LLMs, ‘narrower’ AI and machine learning systems transformed image recognition and natural language processing. Multiple applications of AI and machine learning are now deployed across global horticulture, whether in robots for crop harvesting, imaging technologies for crop forecasting, decision support to optimise greenhouse control, accelerated knowledge transfer or general business management. Here, we review the advent of these technologies within horticulture. Whilst the journal is now 100 years old, artificial intelligence is now starting to realise its potential, an accelerator with the power to transform next century horticulture.