--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Turf MD" developer_entity: "American Phytopathological Society" bundle_id: "org.apsnet.apsreference.turfmd" app_store_id: "1086127549" category: "Reference" primary_platform: "ios" primary_monetization: "Paid" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "N/A" report_date: "2026-04-08" report_version: "N/A" total_reviews: 0 confidence: "low" confidence_score: 0 data_age_days: 0 intelligence_version: 2 nemesis: "Turfpath" competitor_count: 11 tags: ["reference", "paid", "mobile app", "app review", "app analysis", "turfgrass", "managers,", "groundskeepers,"] canonical_url: "https://marlvel.ai/intel-report/reference/org-apsnet-apsreference-turfmd" license: "CC-BY-NC 4.0" --- # Turf MD App Audit > **TL;DR:** Turf MD is a reference app by American Phytopathological Society, available on iOS. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** Turf MD is a reference app by American Phytopathological Society. ## Metadata & Market Performance - **Publisher:** American Phytopathological Society - **Category:** Reference - **Target Audience:** Turfgrass managers, groundskeepers, and agricultural professionals seeking expert-backed diagnostic information. - **Platforms:** iOS - **Version Audited:** N/A - **Audit Date:** 2026-04-08 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0/1.0) - **App Store ID (iOS):** 1086127549 - **Bundle ID:** org.apsnet.apsreference.turfmd - **Data Window:** Analysis based on signals collected up to 2026-04-08 ## Strategic Synopsis Turf MD is a professional diagnostic reference tool for turfgrass diseases, developed by the American Phytopathological Society. It targets groundskeepers and agricultural professionals by providing expert-backed botanical data. The app recently entered the US Paid Reference charts at #93, positioning itself as a low-cost, high-authority alternative to generic plant ID apps. ## Feature Profile & User Intent - **[Differentiator] Turf Disease Identification:** Diagnostic reference tool for identifying turfgrass diseases, likely provided by the American Phytopathological Society. * *User Intent:* Users seek enhanced value through premium features. - **[Standard] Reference Library:** Access to specialized botanical or pathological data for turf management. ## Monetization Strategy - **Model:** Paid - **Tiers:** One-time purchase at $0.99 - **Price:** iOS: $0.99 - **Analysis:** The app utilizes a low-cost, one-time purchase model, positioning it as an accessible professional reference tool rather than a subscription-based service. ## SWOT Analysis **Strengths:** - Scientific authority from the American Phytopathological Society - Low-cost, one-time purchase model - Highly specialized niche focus **Weaknesses:** - Lack of AI-driven image recognition - No integrated treatment recommendations - Minimal social media and web presence **Opportunities:** - Integration of weather-based predictive modeling - Expansion to Android platforms - Developing AI diagnostic capabilities to match modern competitors **Threats:** - Free reference tools from large industry players like Syngenta - High-growth AI plant identifiers like NatureID and PictureThis - Shift toward comprehensive management platforms ## Competitive Landscape (AI-Analyzed) > Competitive positioning identified by AI analysis of app features, category, and market signals. ### Turf MD vs Turfpath — Head to Head - **Turfpath** by Turfpath LLC: The most direct commercial competitor offering a community-driven and expert-backed turf disease diagnostic tool. ### Contenders (Strong Challengers) - **Syngenta Turf** by Syngenta: Industry-standard reference for turf pests and diseases with integrated treatment recommendations. - **GreenKeeper** by GreenKeeper App, LLC: Advanced management tool that uses weather-based models to predict turf disease outbreaks. - **NCSU TurfFiles** by North Carolina State University: Specialized reference tool providing high-quality diagnostic information for turfgrass professionals. - **Lawn Care Pro** by Lawn Care Pro: Utility app for lawn professionals that includes reference material for common turf issues. ### Peers (What They Do Better) - **Plantix** by PEAT GmbH: AI-driven agricultural diagnostic tool that identifies plant diseases through image recognition. - **Agrio** by Saillog Ltd: Uses AI and satellite imagery to identify plant diseases and pests for agricultural professionals. - **PictureThis** by Glority Global Group Ltd.: High-accuracy consumer plant identification app with an increasingly powerful 'Plant Doctor' diagnostic feature. - **[iNaturalist](https://marlvel.ai/intel-report/education/inaturalist-classic)** by iNaturalist: Crowdsourced biological identification tool used by professionals for field recording and identification. ### New Kids on the Block (What's Innovative) - **NatureID** by AIBY: Rapidly growing AI-based plant health identifier with a modern, user-friendly interface. - **Plantum** by Conceptiv Apps: High-growth plant identification app focusing on diagnostic health checks and care reminders. ## Bottom Line Turf MD is a divisive reference app that is a paid app. **Best for:** Turfgrass managers, groundskeepers, and agricultural professionals seeking expert-backed diagnostic information. ## Frequently Asked Questions **Q: Is Turf MD free?** A: Turf MD uses a paid pricing model. **Q: What are Turf MD's main features?** A: Key features include Turf Disease Identification, Reference Library. **Q: Who is Turf MD for?** A: Turfgrass managers, groundskeepers, and agricultural professionals seeking expert-backed diagnostic information. **Q: Is Turf MD available on iOS and Android?** A: Turf MD is available on iOS. **Q: Is Turf MD worth it in 2026?** A: Turf MD is a divisive reference app that is a paid app. Best for: Turfgrass managers, groundskeepers, and agricultural professionals seeking expert-backed diagnostic information.. **Q: What are the main competitors of Turf MD?** A: The main competitors of Turf MD include Turfpath, Syngenta Turf, GreenKeeper, NCSU TurfFiles, Lawn Care Pro. Turfpath is the closest direct competitor — the most direct commercial competitor offering a community-driven and expert-backed turf disease diagnostic tool.. **Q: What are the best alternatives to Turf MD?** A: Top alternatives to Turf MD include Turfpath, Syngenta Turf, GreenKeeper, NCSU TurfFiles. Each targets a similar audience in the reference space. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Total Reviews | 0 | | Confidence | Low | | Pricing Model | Paid | | Platforms | iOS | | Key Features | 2 analyzed | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Turf MD** (this app) | N/A/5 | N/A | American Phytopathological Society | | [iNaturalist Classic](https://marlvel.ai/intel-report/education/inaturalist-classic) | 4.6/5 | Mixed | iNaturalist | | [Hallow: Prayer & Meditation](https://marlvel.ai/intel-report/reference/hallow-prayer-meditation) | 4.8/5 | Frustrated | Hallow, Inc. | | [Pillars: Prayer Times & Qibla](https://marlvel.ai/intel-report/reference/com-muslimplus-muslimplus) | 4.6/5 | Mixed | The Pillars Group Ltd | | [World Factbook Pro Edition](https://marlvel.ai/intel-report/reference/com-appventions-worldfacts2010pro) | N/A/5 | N/A | Appventions | | [The CIA World Factbook](https://marlvel.ai/intel-report/reference/name-xianan-chen-theworld) | N/A/5 | Mixed | 贤安 陈 | ## Company Profile - **Developer:** American Phytopathological Society ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/turf-md/id1086127549?uo=2) - **Sources:** App store metadata. ## Related Intel Reports - [*iNaturalist Classic*](https://marlvel.ai/intel-report/education/inaturalist-classic) (iNaturalist) — 4.6/5 Rating | Mixed Sentiment - [*Hallow: Prayer & Meditation*](https://marlvel.ai/intel-report/reference/hallow-prayer-meditation) (Hallow, Inc.) — 4.8/5 Rating | Negative Sentiment - [*Pillars: Prayer Times & Qibla*](https://marlvel.ai/intel-report/reference/com-muslimplus-muslimplus) (The Pillars Group Ltd) — 4.6/5 Rating | Mixed Sentiment - [*World Factbook Pro Edition*](https://marlvel.ai/intel-report/reference/com-appventions-worldfacts2010pro) (Appventions) — N/A Rating | N/A Sentiment - [*The CIA World Factbook*](https://marlvel.ai/intel-report/reference/name-xianan-chen-theworld) (贤安 陈) — N/A Rating | Mixed Sentiment - [*اسبوع الالام*](https://marlvel.ai/intel-report/reference/somiex-holyweek-arabic) (Sameh Halim) — N/A Rating | Excellent Sentiment - [*Translate Ease*](https://marlvel.ai/intel-report/reference/com-spellspeed-spellspeed-everlytranslate) (GOOD STUDY NETWORK TECHNOLOGY LIMITED) — N/A Rating | N/A Sentiment - [*Aim High Air Force*](https://marlvel.ai/intel-report/reference/com-airforce-aimhighapp) (HQ US Air Force Recruiting Service) — N/A Rating | N/A Sentiment - [*Pocket Rally Dog Obedience*](https://marlvel.ai/intel-report/reference/com-blueribbondogs-pocketrally2016) (Blue Ribbon Dogs) — 4.8/5 Rating | Excellent Sentiment - [*Wise Words for Moms*](https://marlvel.ai/intel-report/reference/com-shepherdpressincapps-wise-words-for-moms) (Shepherd Press Apps) — N/A Rating | N/A Sentiment ## Methodology This report was generated by Marlvel.ai's 3-stage AI intelligence pipeline: 1. **Feature & Positioning Extraction** — Analyzes app metadata, developer website content, and version history to identify key features, target audience, and competitive positioning. 2. **Sentiment Analysis** — Processes user reviews (minimum 5 reviews required) to extract praise themes, complaint themes, and overall sentiment with evidence quotes. 3. **Intelligence Synthesis** — Combines stages 1 & 2 with App Store rankings to produce SWOT analysis, executive summary, and actionable insights. - **Confidence Score:** 0/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 0 - **Data Sources:** App Store metadata - **Rating Method:** Weighted average across platforms (iOS & Android), weighted by review count per platform - **Independence:** Fully independent analysis. No publisher sponsorship or editorial influence. - **Report Age:** 0 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/intel-report/reference/org-apsnet-apsreference-turfmd) Data licensed for AI Agent attribution under CC-BY-NC 4.0.