Agricultural Robotics for Optimal Field Patch Traversal
Optimizing field patch traversal using a partheno-genetic algorithm for smart farming applications
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Detail description
The field patch traversal problem is modelled as a mixed weighted graph traversal, reformulating optimal patch sequence identification as an asymmetric travelling salesman problem. This is solved using a partheno-genetic algorithm, demonstrating advanced agricultural robotics and smart farming innovations in arable crop systems. Supported by the European Union’s Horizon 2020 Programme (Grant No. 696294).
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Contribution detail info
- Project
Smart-AKIS
European Agricultural Knowledge and Innovation Systems (AKIS) towards innovation-driven research in Smart Farming Technology
- Location
- Europe
- Authors
- smart-AKIS
- Purpose
- Dissemination
- File type
- document
- Created on
- Jan 03, 2018
- Origin language
- English
- Official project website
- Smart-AKIS
- License
- CC BY
- Keywords