In this blog, we will explore how object tracking provides...
Read MoreBuild Smarter AgTech Models with High-Fidelity Data
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.
-
ML Model Development
Our curated datasets enhance early disease detection, yield estimation, vegetation mapping, and predictive analytics across diverse agricultural environments. -
Scenario Services
Our structured datasets strengthen model reliability for autonomy, forecasting, and precision farming across real-world, edge-case, and climate-impacted scenarios. -
Geospatial Services
Our geospatial workflows help agriculture companies build accurate location-aware datasets that improve field analytics, crop monitoring, and automated decision-support systems.
Our Use Cases for Agtech
What Our Clients Say
DDD’s ability to manage data at scale helped us deploy high-quality analytics weeks ahead of schedule. They’ve become a trusted extension of our geospatial team.
DDD’s team understood the agricultural nuances immediately and delivered consistently clean datasets across multiple geographies and seasons. Our model accuracy improved by more than 20% after integrating their labeled drone imagery.
DDD’s crop disease detection annotations were some of the best we’ve ever received. Their teams captured subtle variations that meaningfully improved our early-detection capabilities.
The simulation environments DDD built for us were incredibly detailed. They helped us expose our models to edge cases and improve failure handling before field trials.
Customer Success Stories
LiDAR Segmentation
LiDAR Segmentation for ADAS with 97%+ Quality
Our client needed a highly skilled and rapidly scalable annotation team capable of segmenting and labeling massive LiDAR datasets with exceptional precision to ensure safe and reliable ADAS performance.
Talk to an expert →
AI Driven Engineering Solutions
Empowering enterprises with scalable AI and ML deployment strategies.
Explore solutions →
Optimizing Model Performance Through LLM Fine-Tuning Expertise
See how DDD accelerates Autonomous Driving innovation through data-driven success stories.
Talk to an expert →
AI Driven Engineering Solutions
Empowering enterprises with scalable AI and ML deployment strategies.
Explore solutions →
Discover Our Expert Insights and Whitepapers
Deep dive into the latest technologies and methodologies shaping the AgTech industry.
How Object Detection is Revolutionizing the AgTech Industry
In this blog, we will explore how object detection is...
Read MoreEverything You Need To Know About Computer Vision
Computer vision has made it possible to detect and label...
Read MoreDrive the Future of Precision Agriculture with High-Quality Datasets
Frequently Asked Questions
Absolutely. Our global workforce can scale rapidly to support large field surveys, multi-season monitoring programs, and enterprise AgTech workloads.
Through domain-trained annotators, multi-layer QA, geospatial validation, and standardized annotation frameworks aligned with precision agriculture requirements.
Yes. We annotate perception, navigation, obstacle detection, and environmental datasets required for AgTech.
Yes. We support AgTech innovators of all sizes with flexible engagement models and scalable delivery.