arXiv (All)
open access
ALFRED: Requirement-driven development of an open-source mobile manipulator for long-term plant monitoring
Tracking seasonal change in crops and forests requires observing the same plants repeatedly. Ground robots can do this at close range, and a manipulator gives their sensors more viewpoints. Yet the robots behind long-term field datasets are rarely released with their design files, and how a robot's
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Integrating High-Throughput Plant Phenomics and Artificial Intelligence for Precision Agriculture#426585
- Crop Supply Response Functions at Field Level in Germany Using Satellite Data#124768
- Crop Supply Response Functions at Field Level in Germany Using Satellite Data#124767
- Crop Supply Response Functions at Field Level in Germany Using Satellite Data#124765
- MT4AFE: A Deep Learning Benchmark Dataset for Agricultural Field Extraction#291828
Record · ID 1156749
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive