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Learning Long-Term Crop Management Strategies with CyclesGym
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| RL adaptive policy vs expert PA/CYCLES policies, 5-year fertilization | RL (PPO) · N fertilization train | profit: 1.57 -> 2.03 (PA vs RL, 5-year) | Helped |
| give agent observations of crop/soil/weather (RL) vs date and N-to-date only (NONADAPTIVE) | PPO · N fertilization train | profit: 1.99 -> 2.03 (5-year) | Helped |
| train on 1-year horizon then deploy on 5-year (ablation) | RL-1 · N fertilization train | profit: 2.03 -> 1.74 (5-year) | Hurt |
| evaluate in new location (New Holland) | RL · N fertilization test-location | profit | Hurt |
| add fixed fertilization cost, adaptive vs non-adaptive agents | NONADAPTIVE vs RL · fertilization test-time | profit: RL 2.00 -> 1.87, NONADAPTIVE 2.01 -> 1.97 (cost 0.01 -> 0.05) | Mixed |
| RL/NONADAPTIVE vs fixed sequences in crop planning (train) | PPO · crop planning | profit: 1.30 -> 1.35 (S vs RL) | Helped |
| use soil N profile observations (RL) instead of crop history only (NONADAPTIVE) (ablation) | PPO · crop planning | profit: 1.36 -> 1.35 train; 1.24 -> 1.18 test-location | Hurt |
| train on fixed weather pattern instead of sampled weather (ablation) | RL · fertilization | generalization | Hurt |
Closest papers by meaning
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