The Impact of AI and Robotics on the sustainability of Vertical Farming

Vertical farming has been a promising solution to global challenges, resource scarcity, environmental degradation, and food security. This review looks at artificial intelligence (AI) and Robotics as transformative elements for improving the environmental and economic sustainability of vertical farming. On the other hand, precision irrigation for smart irrigation, energy-efficient lighting, and climate control systems made possible with AI-driven optimization allow for a huge reduction in resources like water, energy, and land usage for instance. Automating laborious chores for example, planting, harvesting, and maintenance, robotics help to decrease operation costs and raise production efficiency. AI systems also help to reduce environmental impacts thanks to process optimization for the delivery of nutrients and reduced use of pesticides using improved pest detection and management technologies. Renewable energy sources are integrated to increase vertical farming operations’ sustainability further, and life cycle assessments show the potential for energy use to be balanced with sustainable practices. High initial costs, technological barriers, and concerns about energy consumption present challenges, but technological advances in AI and robotics, as well as support in public policy, provide a way out. This review highlights the need for further research, investment, and collaboration to make the most of the combined potential of AI and robotics to transform vertical farming into an essential element of sustainable agriculture to create and grow food for an ever-increasing global population without using up precious environmental resources.

Authors

Institutions

Publication Details

Journal
Journal of agriculture and biology.
Published
2025-03-27
DOI
https://doi.org/10.55627/agribiol.003.01.1198
Citations
1
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
1.75

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Impact of AI and Robotics on the sustainability of Vertical Farming

Ruqia Syed, Roshdy S. Youssif, Angela Joe, Yunpeng Zhang et al.
1 citations
Journal of agriculture and biology.
Smart Agriculture and AI
1.75
article

The Impact of AI and Robotics on the sustainability of Vertical Farming

Ruqia Syed, Roshdy S. Youssif, Angela Joe, Yunpeng Zhang, Jian Cao, Pei Baolei
article en
1 citations

Abstract

Vertical farming has been a promising solution to global challenges, resource scarcity, environmental degradation, and food security. This review looks at artificial intelligence (AI) and Robotics as transformative elements for improving the environmental and economic sustainability of vertical farming. On the other hand, precision irrigation for smart irrigation, energy-efficient lighting, and climate control systems made possible with AI-driven optimization allow for a huge reduction in resources like water, energy, and land usage for instance. Automating laborious chores for example, planting, harvesting, and maintenance, robotics help to decrease operation costs and raise production efficiency. AI systems also help to reduce environmental impacts thanks to process optimization for the delivery of nutrients and reduced use of pesticides using improved pest detection and management technologies. Renewable energy sources are integrated to increase vertical farming operations’ sustainability further, and life cycle assessments show the potential for energy use to be balanced with sustainable practices. High initial costs, technological barriers, and concerns about energy consumption present challenges, but technological advances in AI and robotics, as well as support in public policy, provide a way out. This review highlights the need for further research, investment, and collaboration to make the most of the combined potential of AI and robotics to transform vertical farming into an essential element of sustainable agriculture to create and grow food for an ever-increasing global population without using up precious environmental resources.

Journal of agriculture and biology.Vol. 3(1)
Huaiyin Institute of Technology (CN)
Huaiyin Institute of Technology
Openalex Percentile: Top 16%
Smart Agriculture and AI
1.75
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.