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.

GitHub Open Website

What this package declares

The file a client reads when it loads this plugin, exactly as this revision carries it.

plugin.json

{
  "$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
  "name": "weed-scientist",
  "version": "1.0.0",
  "description": "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.",
  "author": {
    "name": "K-Dense",
    "url": "https://www.k-dense.ai"
  },
  "homepage": "https://github.com/K-Dense-AI/scientific-agents",
  "repository": "https://github.com/K-Dense-AI/scientific-agents",
  "license": "MIT",
  "keywords": [
    "science",
    "agents-md",
    "expert-profile",
    "weed-scientist"
  ]
}