Deploying and Evaluating a Smart-Agriculture Agentic Engine for Full-Season Soybean Farm Operations

arXiv:2609.00106 · cs.AI, cs.RO · Submitted 2026-08-31 · Read on arXiv

cs.AI, cs.RO

Submitted: 2026-08-31

Updated: 2026-08-31

Code: https://github.com/Fengrui-Lab/FAIRY

Terminology

• Trace — 18× in this paper · explained in 2 episodes
• Calibration — 8× in this paper · explained in 7 episodes
• World Model — 6× in this paper · explained in 7 episodes
• Agentic AI — 3× in this paper · explained in 1 episode
• Alignment — 3× in this paper · explained in 1 episode
• Failure Modes — 3× in this paper · explained in 3 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Core — 2× in this paper · explained in 2 episodes
• Digital Twin — 2× in this paper · explained in 4 episodes
• Edge Deployment — 2× in this paper · explained in 2 episodes
• Grounding — 2× in this paper · explained in 3 episodes
• In International Conference on Learning Representations — 2× in this paper
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• AI Agents — 1× in this paper · explained in 2 episodes
• Abstraction — 1× in this paper · explained in 1 episode
• Action Space — 1× in this paper · explained in 1 episode
• Agentic Controller — 1× in this paper · explained in 1 episode
• Agentic Evaluation — 1× in this paper · explained in 1 episode
• Agentic System — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Elias — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Failure Taxonomy — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• In-Context Learning — 1× in this paper · explained in 4 episodes
• Kendall-style Temporal Correctness — 1× in this paper
• Multi-Agent System — 1× in this paper · explained in 6 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Task Decomposition — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes
• Verifier — 1× in this paper · explained in 2 episodes

Sources

• PowerDAG: Supervisory Agentic AI System for Automating Distribution Grid Analysis
• CangLing-KnowFlow: A Unified Knowledge-and-Flow-fused Agent for Comprehensive Remote Sensing Applications
• ARE: Scaling Up Agent Environments and Evaluations
• Designing Domain-Specific Agents via Hierarchical Task Abstraction Mechanism
• CORE: Full-Path Evaluation of LLM Agents Beyond Final State
• ThinkGeo: Evaluating Tool-Augmented Agents for Remote Sensing Tasks
• Multimodal Reinforcement Learning with Adaptive Verifier for AI Agents
• ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models
• Multimodal Agricultural Agent Architecture (MA3): A New Paradigm for Intelligent Agricultural Decision-Making
• Qwen3 Technical Report
• ReAct: Synergizing Reasoning and Acting in Language Models
• AgriWorld:A World Tools Protocol Framework for Verifiable Agricultural Reasoning with Code-Executing LLM Agents
• One For All: LLM-based Heterogeneous Mission Planning in Precision Agriculture

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