Digital Agriculture Innovation Training Course

Participants can define priority user groups and their information access constraints.

• Semi-structured farmer interviews for identifying decisions, barriers and preferred sources
• Farmer journey mapping from seasonal planning through harvest and sale
• Audience segmentation by enterprise, geography, gender, literacy and connectivity
• Persona construction using evidence rather than assumptions about farmer behaviour
• Access assessment covering handset ownership, network coverage, language and disability
• Trust mapping across extension agents, agrodealers, peers and media outlets

Participants can create concise, actionable agricultural messages for defined farmer audiences.

• Actionable message structure: decision, recommendation, timing, rationale and source
• Plain-language writing for low-literacy and multilingual farmer audiences
• Seasonal content calendars aligned with crop stages and livestock cycles
• Risk communication for pests, disease outbreaks, weather and food safety
• Behavioural prompts using salience, reminders, social norms and implementation intentions
• Technical content validation through agronomists, veterinarians and local extension staff

Participants can select and combine channels for accessible, credible agricultural communication.

• Channel selection matrix using reach, cost, interactivity, literacy and trust
• SMS campaigns designed around message length, timing and opt-in records
• Interactive voice response services for local languages and low literacy
• Community radio programming with call-ins, listener groups and extension follow-up
• WhatsApp and Facebook groups managed through moderation and escalation protocols
• Field agents as assisted-digital channels for registration and problem resolution

Participants can design an end-to-end digital extension service with clear operating processes.

• Human-centred design stages: research, ideation, prototyping, testing and iteration
• Service blueprinting across farmer touchpoints, staff actions and support systems
• Minimum viable service scope defined through priority decisions and user risks
• Content workflow from technical drafting through approval, translation and publication
• Feedback loops combining polls, helplines, field reports and farmer advisory committees
• Escalation procedures for urgent pest reports, safeguarding concerns and misinformation

Participants can apply practical controls for responsible collection and use of farmer data.

• Data inventory identifying personal, farm, location and transaction data
• Purpose limitation and data minimisation within farmer registration forms
• Informed consent scripts suitable for voice, paper and mobile enrolment
• Role-based access controls for field staff, partners and platform administrators
• Data-sharing agreements defining permitted uses, retention and incident notification
• Digital safeguarding risks affecting women, youth and marginalised farmer groups

Participants can build inclusive participation and local knowledge into digital agriculture services.

• Gender analysis of phone access, time use, mobility and decision authority
• Accessibility adaptations for disability, literacy constraints and language diversity
• Participatory content review with farmer groups and community resource persons
• Indigenous and local knowledge documented with attribution and permission protocols
• Innovation brokerage linking farmers, researchers, agrodealers and finance providers
• Managing misinformation through source transparency, correction procedures and trusted messengers

Participants can assess delivery partnerships, platform options and operating costs for digital services.

• Partner mapping across telecoms, media, government, cooperatives and technology vendors
• Build, buy or partner decisions using capability, cost and control criteria
• Platform due diligence covering interoperability, support, security and data ownership
• Memoranda of understanding defining content responsibilities, service levels and governance
• Unit cost calculations for enrolment, message delivery, support and field verification
• Sustainability models using public funding, subscriptions, sponsorship and bundled services

Participants can measure digital agriculture service performance and use evidence for improvement.

• Theory of Change linking digital outputs to farmer decisions and outcomes
• Indicator hierarchy covering reach, engagement, comprehension, adoption and benefits
• Disaggregated monitoring by gender, age, location, enterprise and access barriers
• Baseline and endline survey questions for information use and practice change
• Platform analytics interpreted alongside qualitative farmer feedback and field observations
• Learning reviews converting service data into content and channel improvements

Participants can prepare a practical launch plan for a digital agricultural information service.

• Ninety-day implementation roadmap with milestones, owners, dependencies and review points
• RACI matrix assigning approval, publishing, support and incident-management responsibilities
• Service readiness checklist for content, channels, partners, staff and data controls
• Pilot protocol defining target users, duration, feedback methods and success thresholds
• Risk register covering connectivity, misinformation, exclusion, vendor failure and data incidents
• Application plan translating course methods into current agricultural programme priorities