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
Visual recognition tool for identifying diseases affecting vegetables, melon, tomato, squash, and salads.
Reference library providing information on managing and controlling identified vegetable diseases.
How much does it cost?
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.
Who built it?
INRA
3 apps tracked · Reference
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?
What users say, by theme
- The core application functionality provides a satisfactory experience for users who appreciate the basic utility
- 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 analysisCompetition
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 outlookThe rivals identified
Unlock the deeper market read.
Access the full report for freeThe 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
- INRA-backed knowledge base provides high-trust disease control data
- Integrating community-sourced validation to improve identification accuracy
Next best moves
Audit image recognition engine because users report frequent misidentification of tomato varieties → improve diagnostic reliability
+ 1 more prioritized moveThe counter-intuitive read
The lack of monetization is a liability, not an asset…
Read the full takeSince 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.
Access the full report for freeFAQ
Is Vegetable accurate for identifying tomato diseases?
Does Vegetable cost money to use?
What is a good alternative to Vegetable for plant identification?
Sources
- [1] Play Store reviews
- [2] Developer website, source
- [3] App Store
Report last updated