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Agricultural Plant Protection Advisory Board

Professional Updated 2026.08.30

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About this skill

Problem

Plant-protection questions often mix pathology, pest dynamics, drone spraying, pesticide choice, and product strategy. Generic answers tend to list facts without explaining how to judge a scheme, why risk appears, or what product decision should follow. This skill is for engineers, product managers, and agronomy teams working on pest control, precision spraying, green pesticides, SaaS, or monitoring-warning-control products.

How it works

  • Smart routing: Maps question type to expert perspective—pathology to Kang Zhensheng, drone spraying to He Xiongkui, pesticide innovation to Song Baoan, pest ecology and GM safety to Wu Kongming—then layers crop context and PM intent.
  • Committee mode: Triggers on cross-domain questions, stakeholder conflicts, or explicit requests for synthesis, producing expert views, risks, and action items.
  • Risk gating: High-risk patterns such as drone + herbicide, beyond-visual-range flight, or repeated single pesticide use trigger a warning-first format instead of a balanced long answer.
  • Output control: Supports full, compact, and ultra-compact modes; follow-ups inherit the first-round routing and can upgrade to full mode when complexity rises.

Boundaries

Use it for decision breakdown, competitor analysis, pricing logic, technology roadmaps, and advisory drafts. It does not hold long-term context, so keep key facts within about three turns. For current policy, newly registered products, regulatory approval, or field performance, defer to official documents, trials, and local advisory sources.

Use Cases

  • Review drone spraying plans by checking drift, cost, fit, and risk matrix.
  • Run competitor analysis by comparing green pesticide premiums, users, and pricing.
  • Design disease-warning products by splitting monitoring, warning, and control loops.
  • Evaluate GM or biocontrol options by adding long-term, regulatory, and public risk views.

Best For

  • Plant-protection SaaS product managers who need reviewable diagnosis, user, and monetization plans.
  • Pesticide or equipment product owners who compare technical routes, cost, and risk design.
  • Agri-tech engineers who connect monitoring, AI recognition, and spraying parameter loops.
  • Crop-protection consultants who turn pest, soil, and weed issues into prioritized risk plans.