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DDD provides end-to-end AI data training services supporting modern precision agriculture and autonomous farming systems.
97%
F1 on UAV crop counting benchmarks
mIoU ~0.65
Training masks aligned to land-cover segmentation
mIoU = 97.32%
Livestock video segmentation
Transforming Agriculture with High-Fidelity Data
Our data preparation team and SMEs partner with AgTech startups, food producers, AgroChem companies, and machinery producers to generate clean AI and ML data sets that help drive innovation in food supply solutions, precision agriculture, farm automation, and smart resource management.
Strategic
We bring industry-tested SMEs, provide training data strategy, and understand the data security and training requirements needed to deliver better client outcomes.
Reliable
Our global workforce allows us to deliver high-quality work, 365 days a year, across multiple countries and time zones. With 24/7 coverage, we are agile in responding to changing project needs.
Consistent
We are lifetime project partners. Your assigned team will stay with you – no rotation. As your team becomes experts over time, they train more resources, that’s how we achieve scalability.
Flexible
We are platform agnostic. We don’t force you to use our tools, we integrate with the technology stack that works best for your project.
Our Agriculture Technology Solutions
DDD provides scalable AI data services that power next-generation AgTech applications.
Our Use Cases for Agtech
Crop And Yield Optimization
Classify satellite and aerial images based on condition, crop presence, harvest readiness, and more, to help optimize farm management.
Nutrient and Water Monitoring
Convert analog and digital data into useful, easily visualized data.
Land Survey and Suitability Modeling
Count plants on a field, trees in a forest, livestock, and much more using keypoints to accelerate dataset labeling and drive a variety of applications.
Livestock Management
Detect objects and accurately distinguish and follow objects across video frames.
Human Health And Safety
Monitor employee safety gear, track employee exit and entry, identify unsafe situations, and more.
Object Detection
Train models to find pests, damaged regions, hazards, tillage signs, and more.
Computer Vision in Agriculture
Using computer vision for managing produce on an assembly line.
What Our Clients Say
Customer Success Stories
Agtech Model Training for Smarter, More Sustainable Farming
Challenge Our Agtech client relied on visible signs to spot plant diseases, due to which, yields were lost, and treatments were less effective.
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Frequently Asked Questions
Does DDD support seasonal or large-scale agricultural datasets?
Absolutely. Our global workforce can scale rapidly to support large field surveys, multi-season monitoring programs, and enterprise AgTech workloads.
How does DDD ensure accuracy for agricultural ML models?
Through domain-trained annotators, multi-layer QA, geospatial validation, and standardized annotation frameworks aligned with precision agriculture requirements.
Can DDD support autonomous farming machines or agricultural robotics?
Yes. We annotate perception, navigation, obstacle detection, and environmental datasets required for AgTech.
Does DDD work with both startups and enterprise AgTech companies?
Yes. We support AgTech innovators of all sizes with flexible engagement models and scalable delivery.