Cyber-Physical System Design Space Exploration for Affordable Precision Agriculture
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arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866908913994039296 |
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| author | Kumar, Pawan Kim, Hokeun |
| author_facet | Kumar, Pawan Kim, Hokeun |
| contents | Precision agriculture promises higher yields and sustainability, but adoption is slowed by the high cost of cyber-physical systems (CPS) and the lack of systematic design methods. We present a cost-aware design space exploration (DSE) framework for multimodal drone-rover platforms to integrate budget, energy, sensing, payload, computation, and communication constraints. Using integer linear programming (ILP) with SAT-based verification, our approach trades off among cost, coverage, and payload while ensuring constraint compliance and a multitude of alternatives. We conduct case studies on smaller and larger-sized farms to show that our method consistently achieves full coverage within budget while maximizing payload efficiency, outperforming state-of-the-art CPS DSE approaches. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_24785 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Cyber-Physical System Design Space Exploration for Affordable Precision Agriculture Kumar, Pawan Kim, Hokeun Systems and Control Emerging Technologies Precision agriculture promises higher yields and sustainability, but adoption is slowed by the high cost of cyber-physical systems (CPS) and the lack of systematic design methods. We present a cost-aware design space exploration (DSE) framework for multimodal drone-rover platforms to integrate budget, energy, sensing, payload, computation, and communication constraints. Using integer linear programming (ILP) with SAT-based verification, our approach trades off among cost, coverage, and payload while ensuring constraint compliance and a multitude of alternatives. We conduct case studies on smaller and larger-sized farms to show that our method consistently achieves full coverage within budget while maximizing payload efficiency, outperforming state-of-the-art CPS DSE approaches. |
| title | Cyber-Physical System Design Space Exploration for Affordable Precision Agriculture |
| topic | Systems and Control Emerging Technologies |
| url | https://arxiv.org/abs/2603.24785 |