Pix4Dfields Drone Crop Mapping and Prescription Planning Training Course
| Course code | SD-AA-021 |
|---|---|
| Duration | 5 days |
| Level | Intermediate |
| Category | Agriculture & Agribusiness |
| Delivery | Classroom or live online |
| Language | English |
| Certificate | Certificate of completion |
Course overview
Agronomy teams, commercial growers, NGOs and agricultural service providers increasingly collect drone imagery but often struggle to turn it into defensible field decisions. Raw RGB or multispectral images do not automatically identify nutrient constraints, crop stress, establishment gaps or variable-rate treatment zones. This course addresses the operational gap between a completed drone flight and an actionable prescription map that can be reviewed by agronomists, exported for machinery, and explained to farmers, programme managers or input suppliers.
Participants use Pix4Dfields to import and assess drone imagery, create field boundaries, generate orthomosaics, calculate vegetation indices, compare dates, delineate management zones and produce variable-rate application prescriptions. They learn practical workflows for RGB and multispectral datasets, including radiometric considerations, ground-control choices, image-quality checks, index selection, zone cleaning and prescription validation. The course also covers exporting GeoTIFF, Shapefile and ISO 11783-compatible outputs for GIS review, farm-management systems and precision-application equipment.
Instructor-led demonstrations are followed by guided processing labs using realistic crop-monitoring datasets such as maize nutrient variability, rice establishment assessment and irrigation stress. Participants work through a complete Pix4Dfields project from image import to prescription export, documenting assumptions, agronomic thresholds and quality checks. Each participant leaves with a completed crop-mapping portfolio: an orthomosaic, index map, annotated management zones, a variable-rate prescription and a concise workflow report suitable for adaptation within their own operation or agricultural programme.
The course is designed for professionals who already work with crop monitoring, field agronomy, drone operations, agricultural advisory services or precision-agriculture delivery and need to make Pix4Dfields outputs operationally useful.
Course objectives
By the end of this course, participants will be able to:
- Configure Pix4Dfields projects with correct coordinate systems, crop settings and field boundaries
- Assess drone-image coverage, blur, overlap, reflectance consistency and geolocation quality before processing
- Generate orthomosaics and vegetation-index layers from RGB and multispectral crop-imagery datasets
- Select and interpret NDVI, NDRE and custom index outputs against crop stage and agronomic questions
- Delineate, smooth and edit management zones using Pix4Dfields zonation tools and agronomic thresholds
- Build variable-rate fertilizer, seed or crop-protection prescriptions with rate ranges and exclusion areas
- Export prescription maps as Shapefile, GeoTIFF and ISO 11783-compatible files for downstream systems
- Produce a documented crop-mapping workflow report that records data quality, assumptions and recommended actions
Benefits of attending
For you
- Build evidence-based prescription maps rather than delivering drone imagery as a visual product only
- Gain a repeatable Pix4Dfields workflow for advising on fertilizer, seeding, irrigation and crop-scouting priorities
- Strengthen credibility with agronomists and growers by documenting index choice, thresholds and map-quality checks
- Create machine-ready outputs that expand eligibility for precision-agriculture and drone-service assignments
- Assemble a completed mapping-and-prescription portfolio item that demonstrates practical spatial agronomy capability
For your organisation
- Reduce time between drone survey completion and delivery of actionable field-management recommendations
- Standardise image-quality checks, zone creation and prescription export across agronomy or drone-service teams
- Improve input-allocation decisions by targeting within-field variability instead of applying uniform rates
- Lower operational risk through documented assumptions, coordinate-system checks and export validation procedures
- Create reusable Pix4Dfields templates for recurring crop-monitoring campaigns across farms or programme sites
Target competencies
Who should attend
- Precision Agriculture Specialists — who must convert drone imagery into machine-ready management zones and prescriptions
- Agronomists — who need to interpret spatial crop variability and justify targeted field interventions
- Agricultural Drone Service Providers — who deliver crop-mapping products to growers, estates or development programmes
- Farm Managers — who need evidence for variable-rate input decisions across multiple fields or production blocks
- Remote Sensing Officers — who support crop-monitoring, food-security or agricultural advisory operations
- Agricultural Programme Managers — who need practical quality controls for drone-derived recommendations and contractor outputs
Requirements and prerequisites
Participants should understand basic crop-production concepts such as crop stages, nutrient management, irrigation or pest-pressure indicators, and should be comfortable working with files, folders and tabular data on a Windows or macOS laptop. Prior experience viewing maps in a GIS, operating a drone, or handling multispectral imagery is helpful but not mandatory. Participants should ideally have access to Pix4Dfields during or after the course for continued practice. Drone piloting qualifications, programming skills, advanced photogrammetry and prior variable-rate application experience are not required; flight datasets are supplied for the practical exercises.
Training methodology
The five-day programme combines short instructor-led demonstrations with daily Pix4Dfields processing labs. Participants work with supplied RGB and multispectral field datasets, inspect mission quality, build orthomosaics, calculate indices and test alternative zoning approaches against crop scenarios. Small-group reviews focus on whether a map supports a valid agronomic decision rather than merely looking visually convincing. The final day uses a capstone workflow in which participants create, review and export a prescription package, then identify the data, roles and quality controls needed to apply the method in their own operation.
Course outline
Day 1: Drone Data Readiness and Pix4Dfields Setup
- Pix4Dfields interface, project structure and field-based workflow
- Drone-imagery requirements for crop mapping
- RGB versus multispectral sensor outputs
- Image overlap, ground sampling distance and motion-blur checks
- Coordinate reference systems and field-boundary alignment
- Importing image folders and flight datasets into Pix4Dfields
- Processing options for orthomosaic generation
Workshop: Participants create a Pix4Dfields project from a supplied maize-flight dataset and produce an initial orthomosaic with documented quality observations.
Day 2: Orthomosaics, Indices and Crop Variability Interpretation
- Orthomosaic inspection for seams, gaps and geolocation errors
- Radiometric consistency and reflectance considerations
- NDVI calculation and interpretation limitations
- NDRE use for later-season canopy assessment
- Custom index formulas in Pix4Dfields
- Temporal comparison of crop-imagery layers
- Linking image patterns to field scouting questions
Workshop: Participants generate NDVI and NDRE layers for a crop-stress case, identify priority scouting locations and produce an annotated field-observation map.
Day 3: Management Zones for Agronomic Decisions
- Principles of within-field management-zone delineation
- Pix4Dfields zonation tool and class-selection methods
- Histogram interpretation and threshold setting
- Zone smoothing and removal of impractical small polygons
- Exclusion areas, headlands and non-crop features
- Comparing zones with soil, yield and scouting information
- Agronomic validation of zone boundaries
Workshop: Participants create and refine management zones for an uneven rice establishment dataset, producing a zone map with agronomic rationale for each class.
Day 4: Variable-Rate Prescription Planning and Export
- Prescription logic for fertilizer, seed and crop-protection applications
- Assigning rate ranges to management zones
- Minimum and maximum rate constraints
- Prescription editing and no-application zones
- Area and input-volume calculations
- Shapefile and GeoTIFF export workflows
- ISO 11783 prescription compatibility and machine hand-off
Workshop: Participants build a variable-rate nitrogen prescription from management zones and export a machine-ready file with an input-volume summary.
Day 5: Quality Assurance and Operational Deployment
- Prescription-map quality assurance checklist
- Cross-checking area, rates, units and coordinate systems
- Reviewing prescriptions with agronomists and equipment operators
- Documenting imagery limitations and agronomic assumptions
- Data management for repeat seasonal monitoring
- Pix4Dfields workflow templates for operational teams
- Implementation planning for farm and programme settings
Workshop: Participants complete a capstone crop-mapping package containing an orthomosaic, index map, management zones, prescription export and implementation plan.
Tools & standards covered
Pix4Dfields, Pix4Dcapture Pro, QGIS, ISO 11783
A typical training day
| 08:30 – 10:30 | First session |
| 10:30 – 10:45 | Refreshment break |
| 10:45 – 12:30 | Second session |
| 12:30 – 13:30 | Lunch and networking |
| 13:30 – 15:00 | Third session |
| 15:00 – 15:15 | Refreshment break |
| 15:15 – 16:30 | Workshop and daily review |
Live online deliveries follow the same structure in the East Africa Time zone, with shorter screen blocks and longer breaks.
What the fee includes
- Instruction by a practitioner facilitator
- Full course workbook and materials
- Exercise files, templates and case studies
- Certificate of completion
- Refreshments and lunch (classroom deliveries)
- Post-course application plan
- Facilitator follow-up on request
- Group rates from five participants
How you can take this course
Classroom
Scheduled sessions in Nairobi, Mombasa, Kigali, Dar es Salaam, Dubai and Cape Town.
Live online
The same facilitator and materials, delivered live for distributed teams and individuals.
In-house
Delivered privately for your team, at your offices or a venue of your choice, tailored to your context. Request a proposal.
Certification
Participants who complete the full five days receive the Skillset Development Certificate of Completion, stating the course title, course code, dates and delivery format — suitable for professional-development records and employer reimbursement.
Frequently asked questions
Upcoming sessions
New dates are being scheduled. Ask us about the next session or an in-house delivery for your team.
Ask about datesGroup of 5+?
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