💡 Treatment rotation planner with amitraz resistance-aware scheduling

[github-actions[bot]]

Summary

A proactive treatment rotation planning tool that tracks treatment history by mode of action, warns about confirmed amitraz resistance in the beekeeper's region, and recommends optimal rotation schedules using oxalic acid, formic acid, and thymol alternatives. Includes application-time environment verification using phone sensors and weather API to ensure treatments are applied within effective temperature and humidity ranges.

Market Signal

Amitraz resistance is confirmed and spreading in the US, France, and Canada (USDA ARS 2026 research; Nature Scientific Reports 2025 study on Canadian Varroa populations). The USDA ARS has identified amitraz-resistant Varroa destructor as a potential driver of the record 2024-2025 colony collapse (55.6% loss rate). ABC efflux transporter inhibitor research (USDA ARS 2026) may extend amitraz's useful life, but treatment mode-of-action rotation remains the primary recommendation from every beekeeping authority. No beekeeping app currently helps beekeepers plan or execute treatment rotation.

Competitors: HiveTracks and BroodMinder track treatment records but don't advise on rotation. HiveSense tracks treatments but has no rotation planner. Apiary Book has treatment logging but no mode-of-action awareness.

User Signal

Broodly Discussion #85 (treatment compliance, PHI alerts) and Discussion #500 (treatment efficacy with regional resistance intelligence) show strong user interest in this space. However, neither addresses the proactive ROTATION PLANNING angle — telling beekeepers which treatment to use NEXT based on their history and regional resistance patterns. The sideliner persona (Elena) especially needs this for managing treatments across 50+ hives without accidentally using the same mode of action repeatedly.

Related but distinct from Discussion #348 (automated treatment efficacy scoring from paired mite counts) which focuses on measuring efficacy after treatment, and Discussion #479 (treatment economics dashboard) which focuses on cost.

Technical Opportunity

Treatment database (modes of action, temperature ranges, PHI periods, application methods) is structured data that can be modeled in the existing domain layer. The 8 most common Varroa treatments fall into 4 modes of action — this is a small, well-defined dataset. Phone sensors + weather API (already planned for environmental intelligence, Discussion #476) provide real-time application condition verification. Regional resistance data could leverage crowdsourced treatment failure reporting. GraphQL schema can extend the recommendation contract to include treatment-specific guidance with confidence scoring. Voice-commanded treatment logging during zero-tap inspections provides natural data capture.

Assessment

Dimension	Score	Rationale
Feasibility	high	Small structured dataset; published rotation guidelines exist; extends existing treatment logging
Impact	high	Directly addresses the #1 driver of colony loss (Varroa treatment failure); unique in market
Urgency	high	Amitraz resistance is accelerating NOW; fall treatment window is the critical intervention point

Adversarial Review

Strongest objection: Treatment recommendations are veterinary-adjacent and could create liability if a beekeeper follows the app's rotation advice and the colony still suffers losses.

Rebuttal: The app recommends rotation patterns based on published guidelines from university extension services (not custom veterinary advice), includes disclaimers, and defers to local extension services for region-specific protocols. The bigger liability risk is NOT providing this guidance when beekeepers are defaulting to amitraz-only treatment and driving resistance. The app's confidence scoring and rationale transparency directly address the trust concern from the PRD's recommendation contract. Every recommendation includes action + rationale + confidence + fallback — the fallback being "consult your local extension office."

Suggested Next Step

Build a treatment mode-of-action database covering the 8 most common Varroa treatments (amitraz/Apivar, oxalic acid/Api-Bioxal, formic acid/Formic Pro, thymol/Apiguard, tau-fluvalinate/Apistan, coumaphos/CheckMite+, hop guard/HopGuard 3, essential oils) with application condition requirements (temperature ranges, humidity, PHI periods). Design the rotation scheduling algorithm based on USDA ARS guidelines and validate with university extension apiculturists.