Normalized claim
Farmers using Plant: 50,000 farmers increase
“Today, around 50,000 farmers worldwide are using Plant ;)”
SupPlant deploys IBM watsonx Orchestrate AI agents for smart irrigation insights (Plant ;)
Use case typeWorkflow automationUpdated Feb 26, 2026
SupPlant built Plant ;) to help small and medium-sized farmers access smart irrigation insights without installing hardware. The solution uses satellite images, unstructured sensor data, and AI agents to generate personalized weather and irrigation recommendations and to support agricultural sellers with lead identification.
- Organization
- SupPlant
- Industry
- Agriculture
- Location
- Israel
- Published
- February 2026
Reported outcomes
50,000 farmers
farmers using PlantOther quantified impact
1-500 users/daynew users per day+80%user satisfaction rate+80%message read rate+30%further engagement rate
Strategic outcomes
Market & geographic expansionExpanded from farmer guidance to B2B2C and B2G use casesCustomer experience & trustDelivered guidance through a familiar WhatsApp interfaceSustainability & ESGHelped farmers save water while improving crop productivity
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
New users per day: 1-500 users/day increase
“SupPlant is seeing 500-1,000 new users joining every day”
Normalized claim
User satisfaction rate: 80% increase
“The company has recorded an 80% user satisfaction rate”
Normalized claim
Message read rate: 80% increase
“with 80% of users reading every message sent by the solution”
Normalized claim
Further engagement rate: 30% increase
“and 30% engaging further by asking questions and answering polls”
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- SupPlant
- Provider
- IBM
- Maturity
- Unknown
- Linked source
- IBM Case Studies
No explicit deployment-stage evidence found.
Customer identity supportedSource describes one deploymentMaturity evidence evaluated
Primary read
Use case focus
Showing 1 of 1
- 1Workflow automation
- Small farmers faced variable weather, insufficient yields, and limited access to hardware-heavy smart irrigation.
- SupPlant wanted to make its irrigation technology accessible to smaller farms while expanding into B2B2C and B2G use cases.
- SupPlant built Plant ;) using IBM watsonx Orchestrate to create AI agents that analyze plots over time and generate personalized weather and irrigation insights.
- IBM DataStax Astra DB automated ingestion and retrieval of unstructured satellite and sensor data to make it AI-ready.
- The service is delivered through WhatsApp notifications so farmers can receive updates without installing new software.
- SupPlant also added an AI agent to identify leads for seed, fertilizer, and pesticide sellers.
Technologies
- Around 50,000 farmers worldwide are using Plant ;).
- SupPlant is seeing 500 to 1,000 new users join every day.
- The company reports an 80% user satisfaction rate.
- About 80% of users read every message sent by the solution.
- About 30% of users engage further by asking questions and answering polls.
Architecture
Plant ;) uses IBM DataStax Astra DB to automate ingestion and retrieval of unstructured data from sensors and satellites, enriching it to make it AI-ready. IBM watsonx Orchestrate powers AI agents that analyze plots over time and generate personalized guidance. The front end is integrated with WhatsApp for notifications and farmer interaction.
Sources & evidence1
Evidence: Medium50/100Evidence strength
- Customer explicitly identified
- Primary source available
- Quantified outcome available
- Technical implementation details available
Type: Case StudyPublished: Feb 26, 2026Publisher: IBMEvidence: PrimaryConfidence: High
AI-generated summary. Verify important details with the linked sources before relying on this case.
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