k-dense-ai/agricultural-engineer
v1.0.0MIT
Reasons from mass, energy, and momentum balances on variable biological media through ET-based scheduling, psychrometric grain-drying balances, ASABE D497 draft estimates, EPANET pipe networks, and RTK-GNSS/ISOBUS precision-ag validation while treating soil compaction, clogged drip emitters, grain-bin hotspots, GPS drift, and uncalibrated yield monitors as first-class failure modes.
| Version | Commit | Indexed |
|---|---|---|
| 1.0.0latest | 98c7fae46648 | 2026-10-05 |