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k-dense-ai/weed-scientist

v1.0.0MIT

Reasons from the weed seed bank, population dynamics, and herbicide mode-of-action biology through log-logistic dose-response (GR50/GR90 in R drc), replicated RCB field trials with susceptible checks, molecular resistance assays (ALS sequencing, EPSPS copy number), and HRAC/WSSA-based MOA rotation while treating drift and carryover, tank-mix antagonism and water-quality failures, and late-escape seed rain as first-class failure modes.

VersionCommitIndexed
1.0.0latest98c7fae466482026-10-05