Vegetable

Vegetable

By INRA

Vegetable is an image-based diagnostic reference tool for identifying crop diseases in vegetables, tomatoes, and melons on iOS and Android.

The App DNA

What makes this app unique?

Gardeners and farmers use the tool to identify plant pathogens and access control methods, replacing manual search in agricultural reference books.

For Gardeners, farmers, and agricultural professionals seeking diagnostic tools for vegetable crop health.

What does it look like?

Key features

Image-based Disease Identificationedge

Visual recognition tool for identifying diseases affecting vegetables, melon, tomato, squash, and salads.

Disease Control Knowledge Basestandard

Reference library providing information on managing and controlling identified vegetable diseases.

How much does it cost?

freeFree access to all identification and reference tools

Vegetable operates as a non-monetized research tool provided by INRA.

Velocity

Dormant developmentopaqueShow more...

Vegetable has been inactive for nearly a year, with no feature updates or maintenance patches since September 2025. The development cadence is effectively stalled, as the app has not received a build in 349 days. Given the lack of activity over this extended period, the project currently shows no signs of active development or support.

See all version history

Who built it?

INRA

3 apps tracked · Reference

DiagnoPlantTobaccoDiagnoPlantTobaccoDiagnoplant biocontrôleDiagnoplant biocontrôle
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User Sentiment

What do users think recently?

The recent review mood reads frustrated. Users appreciate the core application functionality provides a satisfactory experience for users who appreciate the basic utility.

How are ratings & reviews evolving?

App Store
0.00 · 0
Google Play
0.00 · 0

What users say, by theme

What Users Love
  • The core application functionality provides a satisfactory experience for users who appreciate the basic utility
What Frustrates Users
  • The image recognition engine fails to identify specific plant types, focusing instead on irrelevant biological categories

3 of 3 recent reviews analyzed · limited sample

Read the full review analysis

Competition

Competitive landscape for Vegetable

How's the Reference market?

Vegetable maintains a niche position as an academic reference tool with no monetization. The lack of updates for 350 days contrasts with the rapid iteration cycles of commercial plant-identification rivals, limiting its growth potential.

Read the market outlook

The rivals identified

Unlock the deeper market read.

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The Analyst's Read

Key takeaways for Vegetable

Where is it heading?

The agricultural reference market is consolidating around apps that combine visual identification with active machine learning feedback loops. Vegetable remains exposed due to its lack of updates and engine inaccuracies, which will likely accelerate user migration to more responsive, commercial diagnostic tools.

  • The 11-month development silence suggests the tool is in maintenance mode, which prevents the engine from adapting to new plant diseases.
  • User complaints regarding identification accuracy indicate the core diagnostic engine is failing to meet the needs of this app agricultural audience.

The SWOT

Core Strengths
  • INRA-backed knowledge base provides high-trust disease control data
Critical Frictions 2 weaknesses inside
Growth Levers
  • Integrating community-sourced validation to improve identification accuracy
Market Threats 1 threat identified

Next best moves

1 Pivot · 1 Maintain

Audit image recognition engine because users report frequent misidentification of tomato varieties → improve diagnostic reliability

+ 1 more prioritized move

The counter-intuitive read

The lack of monetization is a liability, not an asset…

Read the full take

Since the last report: The diagnostic tool's market outlook has shifted from mixed to declining, driven by a 350-day update gap that leaves the app vulnerable to commercial competitors with active machine learning loops.

Bottom line

The academic foundation provides a high-trust knowledge base, but the stagnant identification engine limits utility. A pivot toward improving diagnostic precision would unlock the tool's value for professional users, preventing further churn to general-purpose rivals.

Unlock 2 critical frictions, 1 market threat, 1 more prioritized move and the analyst’s take.

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FAQ

Is Vegetable accurate for identifying tomato diseases?
Users report that the identification engine often struggles with specific plant types, sometimes misidentifying crops or focusing on irrelevant biological categories rather than the specific disease.
Does Vegetable cost money to use?
No, Vegetable is a free research tool provided by INRA with no monetization or subscription tiers.
What is a good alternative to Vegetable for plant identification?
Users seeking more reliable identification should consider general-purpose plant diagnostic apps, which often feature more active development cycles and broader machine learning databases.

Sources

  1. [1] Play Store reviews
  2. [2] Developer website, source
  3. [3] App Store

Report last updated

Disclosure: Independent intel to help mobile builders succeed.

AI-powered analysis with automated quality gates, built from publicly available sources. Marlvel.ai is not affiliated with, endorsed by, or sponsored by Vegetable, its developer, the app publisher, Apple, or Google Play. All trademarks, logos, and screenshots referenced remain the property of their respective owners.

What's new

The diagnostic tool's market outlook has shifted from mixed to declining, driven by a 350-day update gap that leaves the app vulnerable to commercial competitors with active machine learning loops.

declined

Outlook Trend Downgrade

added

Update Gap Weakness

added

Competitive Threat Identification

shifted

Maintenance Strategy

Cite this report

Marlvel.ai. “Vegetable Intelligence Report.” Updated Aug 23, 2026. https://marlvel.ai/apps/vegetable

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