Mopedi: Intelligent Precision Farming for the Future
Transforming agriculture through AI-powered crop monitoring and precision irrigation management
Join Beta Programme
Revolutionising Agricultural Intelligence
Mopedi represents the next generation of precision agriculture technology, seamlessly integrating artificial intelligence with Internet of Things devices to deliver unprecedented insight into crop management. Our platform transforms raw data from soil sensors, aerial drones, and meteorological systems into actionable intelligence that optimises every aspect of farming operations.
By harnessing advanced machine learning models trained on comprehensive datasets including the renowned PlantVillage collection and satellite remote sensing data, Mopedi provides farmers and agribusinesses with the tools to make informed decisions about irrigation schedules, fertilisation programmes, and pest management strategies. The result is a scalable, accurate system that adapts to diverse crop types and varied farming conditions across regions.
Whether managing a small-scale operation or coordinating large commercial farms, Mopedi delivers the precision and reliability that modern agriculture demands in an increasingly complex environmental landscape.
Core Capabilities
Crop Health Monitoring
Real-time analysis of plant vitality using multispectral imaging and AI-powered disease detection algorithms
Smart Irrigation Control
Automated water management optimised for soil moisture levels, weather forecasts, and crop requirements
Yield Forecasting
Predictive analytics delivering accurate harvest projections based on growth patterns and environmental data
Precision Fertilisation
Data-driven nutrient application recommendations tailored to specific field zones and crop development stages
How Mopedi Works
01
Data Collection
IoT sensors, drones, and weather stations continuously gather field data including soil conditions, plant imagery, and environmental factors
02
AI Analysis
Advanced machine learning models process incoming data streams to identify patterns, detect anomalies, and assess crop health status
03
Intelligent Recommendations
The platform generates actionable insights for irrigation timing, fertiliser application, and pest management interventions
04
Automated Execution
Connected irrigation systems and equipment respond automatically to optimise resource usage and maximise crop performance
05
Continuous Learning
The system refines its models based on outcomes, improving accuracy and adapting to specific farm conditions over time
Advanced AI-Powered Crop Analysis
Machine Learning at the Core
Mopedi's AI engine leverages proven datasets including the comprehensive PlantVillage collection, which contains over 54,000 images of healthy and diseased crop leaves across 14 species. This foundation enables our models to accurately identify plant diseases, nutrient deficiencies, and stress indicators with exceptional precision.
Combined with remote sensing data from satellite imagery and drone surveys, our platform builds a complete picture of field conditions. The system processes multispectral data to detect issues invisible to the human eye, often identifying problems days or weeks before visible symptoms appear.
This early detection capability allows farmers to intervene proactively, minimising crop losses and reducing the need for broad-spectrum treatments. The result is healthier crops, lower input costs, and reduced environmental impact.
Scalable Across Diverse Agricultural Operations
Large-Scale Arable Farms
Manage thousands of hectares with zone-specific insights and automated equipment coordination
Controlled Environment Agriculture
Optimise greenhouse and vertical farming operations with precise environmental control
Orchard & Vineyard Management
Monitor tree and vine health with individual plant-level precision for premium crop quality
Speciality & Organic Crops
Adapt to unique growing requirements whilst maintaining certification standards
Mopedi's flexible architecture accommodates farming operations of any size or type, from small family farms to large commercial enterprises. The platform scales seamlessly, whether managing a single field or coordinating multiple sites across different climate zones.
Measurable Impact on Farm Performance
32%
Water Savings
Average reduction in irrigation water usage through precision scheduling and soil moisture optimisation
24%
Yield Increase
Improved crop productivity resulting from optimised growing conditions and early problem detection
41%
Input Cost Reduction
Decreased expenditure on fertilisers, pesticides, and water through targeted application strategies
89%
Disease Detection Accuracy
Precision in identifying crop diseases and stress conditions before visible symptoms appear

Based on beta programme results: Performance metrics represent averages from diverse farming operations during 2024-2025 testing phase. Individual results vary depending on crop type, climate conditions, and baseline farming practices.
Integrated IoT Sensor Network
Comprehensive Field Monitoring
Mopedi integrates with a wide range of IoT devices to create a complete picture of farm conditions. Soil sensors measure moisture content, temperature, pH levels, and nutrient concentrations at multiple depths, providing real-time data on root zone conditions.
Weather stations track temperature, humidity, rainfall, wind speed, and solar radiation, enabling accurate microclimate analysis. This data feeds directly into irrigation and pest pressure models, ensuring recommendations account for local conditions.
Aerial Intelligence
Drone integration allows for regular field surveys capturing high-resolution imagery and multispectral data. These aerial perspectives reveal variability across fields, identifying areas requiring attention and tracking crop development over time.
The platform automatically processes drone data, generating vegetation indices, biomass estimates, and stress maps. This combination of ground-level and aerial sensing creates unprecedented visibility into crop performance.
Smart Irrigation Management
Precision Water Application
Water scarcity represents one of agriculture's most pressing challenges. Mopedi's smart irrigation system addresses this by delivering water exactly when and where crops need it, eliminating waste whilst maintaining optimal growth conditions.
The platform continuously monitors soil moisture at root depth, combining this data with weather forecasts, evapotranspiration models, and crop water requirements. Machine learning algorithms predict irrigation needs days in advance, allowing for proactive scheduling that accounts for upcoming rainfall or temperature changes.
Zone-based control enables different irrigation strategies across a single field, accommodating variations in soil type, topography, and crop development. The system automatically adjusts for each zone's unique characteristics, ensuring consistent crop performance whilst minimising water consumption.
Integration with existing irrigation infrastructure—from drip systems to centre pivots—means farmers can implement smart water management without replacing equipment. The platform simply adds intelligence to current systems, maximising return on existing investments.
Beta Programme & Launch Timeline
1
Q1 2024
Beta programme launch with selected farming partners across diverse crop types and regions
2
Q2-Q3 2024
Platform refinement based on real-world feedback, model training on operational farm data
3
Q4 2024
Expanded beta testing with additional farms, integration of new sensor types and drone platforms
4
Q1 2025
Feature enhancement phase: advanced analytics dashboard, mobile application development
5
December 2025
Beta programme conclusion, final system validation and performance verification
6
February 2026
Commercial launch with full platform availability for agricultural operations worldwide

Current beta participants benefit from early access pricing and priority support during the commercial launch phase. Limited spaces remain available for autumn 2025 beta enrolment.
Technical Foundation & Data Sources
PlantVillage Dataset Integration
Our AI models leverage the extensive PlantVillage Dataset, containing over 54,000 expertly labelled images covering 14 crop species and 26 disease categories. This forms the foundation of our disease detection capabilities, providing proven accuracy across diverse agricultural contexts.
Remote Sensing Data
Satellite imagery and multispectral remote sensing datasets enable large-scale field monitoring and historical analysis. Integration with platforms such as Sentinel-2 and Landsat provides regular field observations, tracking seasonal patterns and long-term trends in crop performance.
Continuous Model Improvement
As farms use Mopedi, the platform accumulates operational data that further refines our models. This continuous learning approach means accuracy improves over time, with algorithms adapting to specific regional conditions, crop varieties, and farming practices unique to each operation.
Join the Precision Agriculture Revolution
Commercial Launch: February 2026
Mopedi will be commercially available to agricultural operations worldwide beginning February 2026. Our current beta programme, concluding in December 2025, continues to refine the platform based on real-world farming conditions.
Early adopters joining our beta programme gain valuable experience with the platform ahead of general availability, benefit from preferential pricing structures, and receive priority implementation support during commercial rollout.
Get Started Today
  • Schedule a platform demonstration with our agricultural technology specialists
  • Apply for remaining beta programme positions (limited availability)
  • Register for commercial launch notifications and early access opportunities
  • Download our technical specifications and integration documentation
Contact Us
We're here to help! Whether you have questions about Mopedi, need support, or are interested in our beta programme, please get in touch using the details below.
Our Details
Address:
6, Alhaji Bashorun Street,
Ikoyi, Lagos, Nigeria