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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM15154
Volume:
6 |
6 |
Jun 2022
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
vertical farming layout design is manual and inefficient, leading to suboptimal tower/tank placement and 20-30% wasted space in hydroponic NFT systems. This paper proposes an AI-driven optimizer using genetic algorithms for tower placement and KMeans clustering for tanks, integrated with a Gemini-powered chatbot for real-time recommendations. The Gradio-based system generates 200 DPI blueprints for rooms up to 450m² (e.g., 100 towers/10 tanks at 92% coverage) and handles queries on EC/pH/nutrients via FastAPI IoT APIs. Results show 15-25% better space utilization vs. manual layouts, with chatbot accuracy > 90% on hydroponic advice. This scalable solution supports B2B rentals and SDG 2/9 goals for urban agriculture in Bengaluru.
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Publication Date
2/2/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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