Computer vision is reshaping agriculture by enabling farmers and agribusinesses to make data-driven decisions through image-based insights. From identifying crop diseases and monitoring plant health to automating harvesting and improving irrigation systems, companies using computer vision help optimize productivity and reduce resource waste. This article presents companies that apply computer vision technologies to various areas of modern agriculture.
1. AI Superior
At AI Superior, we develop artificial intelligence solutions that support innovation in agriculture, with a strong focus on computer vision. We help agribusinesses apply image-based technologies for monitoring crops, detecting plant diseases, and optimizing resource usage. Since our founding by Dr. Ivan Tankoyeu and Dr. Sergey Sukhanov, we’ve partnered with clients to build tailored solutions that bring efficiency and accuracy to agricultural operations.
We approach each project with a structured methodology that minimizes risks and ensures alignment with the client’s goals. Whether the task involves identifying crop health from drone imagery or automating visual inspection in greenhouses, our team follows a clear implementation path from concept to deployment. This allows us to deliver scalable solutions that provide real-time insights into agricultural conditions and support better decision-making on the field.
Our team brings together experts in computer vision, machine learning, and data science. With strong technical foundations and practical experience, we create solutions that adapt to specific agricultural needs. We also provide ongoing support and training to help clients maintain and evolve their AI tools over time, ensuring long-term impact and operational value.
Key Highlights:
- Founded in 2019 by experts Dr. Ivan Tankoyeu and Dr. Sergey Sukhanov
- Specializes in transforming AI concepts into scalable solutions
- High success rate in Proof of Concept (PoC) projects
- Effective risk management in AI project life cycles
- Team comprised of PhD-level data scientists and engineers
Services:
- AI and Data Strategy Development
- Process Optimization with AI
- AI Use Case Discovery & Identification
- AI Training and Workshops
- Generative AI Development
Contact Information:
- Website: aisuperior.com
- Address: Robert-Bosch-Str.7, 64293 Darmstadt, Germany
- Contact Email: info@aisuperior.com
- Phone Number: +49 6151 3943489
- LinkedIn: www.linkedin.com/company/ai-superior
- Twitter: x.com/aisuperior
2. Tupl
Tupl develops AI-driven automation solutions primarily for telecommunications, agriculture, and manufacturing industries. Their platform, TuplOS, is a low-code system designed to facilitate the creation and management of automation applications. The platform integrates machine learning operations to streamline processes and reduce application development timelines.
Tupl’s agricultural products include AI Agro Unifier and Agro Advisor. AI Agro Unifier consolidates operational data from multiple sources to enable centralized monitoring, analysis, and farm management. Agro Advisor provides farmers with agronomic recommendations, risk assessments, and operational insights delivered directly through WhatsApp.
Services:
- AI-powered computer vision solutions for agriculture
- Automation and monitoring of crop health and production
- Data-driven farm management with Tupl Agro
- Low-code MLOps platform for custom agricultural AI applications
- Smart agriculture insights from drone and satellite imagery
- Edge AI deployment for real-time field processing
- Integration of AI systems into precision farming workflows
Contact and Social Media Information:
- Website: www.tupl.com
- E-mail: info@tupl.com
- LinkedIn: www.linkedin.com/company/tupl-inc-
- Twitter: x.com/tuplinc
- Facebook: www.facebook.com/tupl.io
- Instagram: www.instagram.com/tupltelco
3. SuperAnnotate
SuperAnnotate provides tools for annotation and management of training datasets used to build artificial intelligence models. The platform also includes features for workflow orchestration, project management, and collaboration with external annotation teams through a marketplace. Additionally, it integrates with various technology providers such as Databricks, NVIDIA, Google Cloud Platform, Snowflake, AWS, and IBM.
SuperAnnotate is used by agriculture-focused companies for tasks such as soil monitoring, crop protection, weed identification, livestock counting, harvest automation, and produce sorting. The company collaborates with IntelinAir, which uses aerial imaging and deep learning technologies to deliver insights to farmers for agricultural decision-making.
Services:
- Image and video annotation for computer vision AI
- Data operations for agriculture AI pipelines
- Workflow automation and version control
- Labeling platform for multimodal datasets
- Vendor and team management tools
- Customizable UI for agriculture-specific tasks
- Integration with model training pipelines
Contact and Social Media Information:
- Website: www.superannotate.com
- LinkedIn: www.linkedin.com/company/superannotate
- Twitter: x.com/superannotate
- Facebook: www.facebook.com/superannotate
4. Folio3 AI
Folio3 develops software solutions with applications in artificial intelligence, mobile systems, and enterprise integration. Their offerings include custom AI development, computer vision, and data-driven automation tools. Services span initial consulting, model training, software engineering, and ongoing support. Projects are built to operate across cloud, mobile, and embedded platforms depending on use case.
Work in agriculture includes computer vision systems for identifying plant diseases, analyzing drone footage, and tracking livestock. These systems are trained on domain-specific imagery and configured for tasks such as field condition mapping or behavior monitoring. Models can be integrated into existing farm management systems or used as standalone tools in field operations.
Services:
- Computer vision solutions for smart farming and AgTech
- Cattle breed and pose detection tools
- Livestock monitoring and counting with AI
- Plant disease recognition and classification
- Drone and satellite imagery analysis
- Edge AI for on-field deployment
- Custom computer vision model development for agriculture
Contact and Social Media Information:
- Website: www.folio3.com
- Address: 1301 Shoreway Road, Suite 160, Belmont, CA 94002
- Phone: +1 408 365 4638
- Email: contact@folio3.ai
- Linkedin: www.linkedin.com/company/folio3
- Twitter: x.com/folio_3
- Facebook: www.facebook.com/folio3software
5. Viso AI
Viso.ai builds infrastructure for managing computer vision systems through its platform, Viso Suite. The platform covers stages from data input and labeling to model training, application design, deployment, and monitoring. It is designed to work across different hardware setups, including edge devices and standard IP cameras. The system includes a user interface for building logic without code and supports integration with external tools and data services.
Tasks in agriculture include analyzing images for crop classification, identifying invasive plants, and monitoring field equipment. Models are developed using farm-specific data and deployed directly to devices used in outdoor or greenhouse settings. Viso Suite allows remote updates, error tracking, and performance monitoring across all connected systems.
Services:
- End-to-end computer vision platform for agriculture
- AI model training, annotation, and deployment tools
- Edge AI for real-time agricultural monitoring
- Modular application development and integration
- Crop monitoring and precision agriculture solutions
- Device management and remote diagnostics
- Security, analytics, and system scaling infrastructure
Contact and Social Media Information:
- Website: viso.ai
- LinkedIn: www.linkedin.com/company/visoai
- Twitter: x.com/viso_ai
6. Blue River Technology
Blue River Technology develops computer vision and robotics systems for agriculture. Their primary focus is on machinery that can identify and manage individual plants in real time. The company’s core product is See & Spray™, a machine that uses cameras and AI to detect crops and weeds, allowing targeted application of herbicides. This reduces chemical usage and supports site-specific crop management.
Their technology is built into agricultural equipment and operates in dynamic field environments. Computer vision models run on embedded systems mounted on tractors or implements. These models are trained to recognize plant types and conditions during field operations. Blue River Technology designs both the software and hardware needed for automated plant-level decision-making.
Services:
- Computer vision for precision agriculture
- Automated weed detection and removal
- Smart sprayers powered by machine learning
- Field data collection and analysis
- On-device AI for in-field real-time decisions
- Custom robotics platforms for agriculture
Contact and Social Media Information:
- Website: www.bluerivertechnology.com
7. Rapid Innovation
Rapid Innovation develops customized solutions using artificial intelligence, blockchain, and web technologies. Their services include AI model development, computer vision, natural language processing, and automation tools. The company provides infrastructure for integrating AI into business operations, with support for deployment on cloud, mobile, and embedded systems.
Projects span sectors such as healthcare, finance, e-commerce, and logistics. In the context of agriculture, their tools have been applied to computer vision tasks such as plant identification, disease detection, and automated monitoring using drone or sensor data. The company supports full-cycle AI implementation, from dataset preparation and model training to deployment and performance optimization.
Services:
- Custom computer vision model development
- AI consulting for agriculture automation
- Drone vision for crop and field monitoring
- Deep learning for plant disease detection
- Integration of AI in agricultural machinery
- End-to-end ML deployment and infrastructure
Contact and Social Media Information:
- Website: www.rapidinnovation.io
- Address: 2785 W Seltice Way, Post Fall, ID 83854
- Phone: +1 866-882-7737
- E-mail: hello@rapidinnovation.io
- LinkedIn: www.linkedin.com/company/rapid-innovation
- Facebook: www.facebook.com/rapidinnovation.io
- Instagram: www.instagram.com/rapidinnovation.io
8. NVIDIA
NVIDIA produces hardware and software used in AI, graphics, and computing infrastructure. Their offerings include GPUs, edge devices, development kits, and software frameworks for model training and deployment. Core technologies include CUDA for parallel computing, TensorRT for inference optimization, and software platforms like Metropolis, which is used in video analytics and computer vision.
Agricultural systems built on NVIDIA hardware process visual input from drones, satellites, and field sensors to detect crop features, classify plant health, and automate machinery. Models are trained using GPU-accelerated workflows and deployed on edge devices in tractors, robots, or monitoring stations. These systems operate in real time and handle high volumes of image data under varied environmental conditions.
Services:
- GPU-based computer vision frameworks for agriculture
- Edge AI deployment and model acceleration
- NVIDIA Metropolis for agriculture automation
- AI-enabled drone and sensor processing
- Development kits for machine vision in smart farming
- Support for deep learning model training
Contact and Social Media Information:
- Website: www.nvidia.com
- Address: 2788 San Tomas Expressway, Santa Clara, CA 95051
- Phone: +1 (408) 486-2000
- E-mail: info@nvidia.com
- LinkedIn: www.linkedin.com/company/nvidia
- Twitter: x.com/nvidia
- Facebook: www.facebook.com/nvidia
- Instagram: www.instagram.com/nvidia
9. Sama
Sama offers data annotation services for computer vision and AI training pipelines. Their platform handles structured labeling for visual, textual, audio, and sensor-based data, including LiDAR and 3D formats. Annotation types include segmentation, bounding boxes, keypoints, and classification. All annotation is done by an in-house workforce using proprietary tools, with built-in systems for quality control and validation.
Projects in agriculture include preparation of datasets from aerial or ground-level images showing crops, soil, or animals. The data is labeled to train models that support automated analysis tasks, such as detecting plant health issues or counting objects in the field. Annotations are tailored to specific agricultural conditions and model requirements, and are delivered in formats ready for machine learning workflows.
Services:
- Data annotation for agricultural computer vision
- Image and video labeling for smart farming AI
- Bounding box, segmentation, and classification
- Model training data preparation
- End-to-end labeling pipeline with QA
Contact and Social Media Information:
- Website: www.sama.com
- Address: 2017 Mission St, Suite 301, San Francisco, CA 94110, USA
- Phone: +1 888-744-3900
- E-mail: contact@sama.com
- LinkedIn: www.linkedin.com/company/sama-ai
- Twitter: x.com/SamaAI
- Facebook: www.facebook.com/samaartificialintelligence
- Instagram: www.instagram.com/sama_ai_
10. MVTec
MVTec develops machine vision software for analyzing visual data in automated environments. Their main products, HALCON and MERLIC, are used to create applications involving object detection, surface inspection, classification, and 3D vision. HALCON is accessed through a programming interface, while MERLIC allows configuration without code.
Use cases in agriculture include sorting fruit by shape or size, detecting surface damage, and evaluating growth stages in controlled conditions. These applications run on processing lines or inspection systems using visual input from industrial or multispectral cameras. Models are trained to distinguish features relevant to production workflows, without requiring manual review or post-processing.
Services:
- Machine vision software (HALCON, MERLIC)
- Object detection and defect inspection for crops
- Edge AI deployment and hardware compatibility
- Integration with automation and robotics platforms
- Deep learning tools for agricultural inspection
Contact and Social Media Information:
- Website: www.mvtec.com
- Address: 108 Myrtle St., Suite 503, Quincy, MA 02171, USA
- Phone: +1 617 401 2112
- E-Mail: sales@mvtec.us
- LinkedIn: www.linkedin.com/company/mvtec-software-gmbh
11. Croptracker
Croptracker builds software for managing production and operations on farms growing fruits and vegetables. The platform logs inputs and activities like chemical applications, irrigation, harvest events, and labor hours. It includes features for scheduling, reporting, and ensuring compliance with food safety and agricultural standards.
Computer vision is used in their tools to automate measurement and evaluation of crops in the field and during harvest. These tools process images to estimate yield, assess quality, and monitor development stages. Instead of relying on manual sampling, the system uses visual data collected from mobile devices to generate consistent metrics across different blocks or fields.
Services:
- Farm management platform with computer vision
- Produce tracking and quality control via image AI
- Harvest and storage monitoring
- Smart grading using machine learning
- Real-time crop monitoring
Contact and Social Media Information:
- Website: www.croptracker.com
- Address: P.O. Box 1084 Stn Main, Kingston Ontario K7L 4Y5, Canada
- Phone: 1-800-903-1492
- E-mail: support@croptracker.com
- LinkedIn: www.linkedin.com/company/croptrackerapp
- Twitter: x.com/croptrackerapp
- Facebook: www.facebook.com/croptracker
12. Ultralytics
Ultralytics models are used to process images collected from fields by drones, smartphones, or fixed cameras. Tasks include identifying crop types, spotting signs of disease, locating weeds, and counting plants. These models can be deployed directly on agricultural equipment or used in remote processing systems, depending on the operational setup.
They develop and maintain the YOLOv5 and YOLOv8 frameworks for object detection. Tools are available through both a Python package and a web interface for labeling data, training models, and exporting them in formats suited to cloud, mobile, or edge use. The system is designed to work with standard machine learning workflows and supports custom datasets.
Services:
- YOLOv8 computer vision models for agriculture
- Open-source tools for real-time object detection
- Custom training and deployment support
- Edge deployment for drones and field equipment
- Integration with precision agriculture systems
Contact and Social Media Information:
- Website: www.ultralytics.com
- Address: United States, 5001 Judicial Way, Frederick, MD 21703, USA
- E-mail: hello@ultralytics.com
- LinkedIn: www.linkedin.com/company/ultralytics
- Twitter: x.com/ultralytics
13. Encord
Encord develops a data operations platform for computer vision that supports the full lifecycle of AI model training. Their tools enable labeling, curation, quality control, and evaluation of multimodal datasets including images, video, text, audio, DICOM, and geospatial formats. The platform includes features such as AI-assisted annotation, customizable workflows, collaboration tools, and integrations with major cloud storage providers.
In agriculture, Encord supports tasks such as crop monitoring, disease detection, and yield estimation by enabling annotation and analysis of drone or satellite imagery. Their platform allows agricultural AI developers to identify data gaps, label edge cases, and refine training sets using active learning techniques. The tools are compatible with edge deployment and are used in creating domain-specific computer vision models for farming operations.
Services:
- Computer vision annotation platform for agriculture
- Model-assisted labeling and active learning
- Automation workflows for agriculture AI
- Annotation for satellite, drone, and ground image data
- Performance tracking and data governance
Contact and Social Media Information:
- Website: encord.com
- LinkedIn: www.linkedin.com/company/encord-team
14. MindTitan
MindTitan develops custom artificial intelligence solutions for sectors including government, telecom, finance, and utilities. Their services include AI strategy consulting, machine learning model development, and deployment of computer vision and natural language processing systems. They support end-to-end project execution, from data preparation and system architecture to implementation and post-launch optimization.
Their involvement in public sector and enterprise projects includes development of anti-money laundering systems, social media content analysis tools, and AI modules for reducing operational inefficiencies. MindTitan co-founded the GenAIoT platform and is involved in national-level digital transformation initiatives. The company also provides infrastructure for managing data engineering and deploying AI in real-world environments.
Services:
- AI strategy and computer vision for agribusiness
- Detection of crop anomalies via aerial imagery
- Smart monitoring of farmland and livestock
- Custom ML model training for environmental data
- Vision-enabled automation for agriculture
Contact and Social Media Information:
- Website: mindtitan.com
- Phone: +372 5668 8239
- E-mail: team@mindtitan.com
- LinkedIn: www.linkedin.com/company/mindtitan
- Twitter: x.com/mindtitan_ai
- Facebook: www.facebook.com/mindtitan
- Instagram: www.instagram.com/mindtitan
15. Intellias
Intellias is a software development company that provides AI and IoT solutions across multiple industries, including agriculture. In agricultural applications, they have built systems for integrating IoT sensor data to monitor variables such as soil conditions and crop status. Their projects include developing centralized platforms for farm operations and automated systems for adjusting environmental conditions in greenhouses based on real-time data inputs.
The company also participates in technology initiatives like GenAIoT, which merges generative AI with industrial IoT for business applications. Intellias has introduced an internal AI Copilot program intended to support software engineering workflows. Their services involve creating digital tools that combine data collection, automation, and predictive analysis for both agricultural and non-agricultural settings.
Services:
- AI solutions for precision agriculture
- Computer vision for crop recognition and soil analysis
- Edge analytics and IoT integration
- Smart farming platforms with ML-driven tools
- End-to-end AI strategy and deployment
Contact and Social Media Information:
- Website: intellias.com
- Address: 500 West Madison Street 60661 Chicago, IL
- Phone: +1 857 444 0442
- E-mail: info-chicago@intellias.com
- LinkedIn: www.linkedin.com/company/intellias
- Twitter: x.com/intellias
- Facebook: www.facebook.com/Intellias.GlobalPage
16. Roboflow
Roboflow builds infrastructure for developing and deploying computer vision models. Their platform supports dataset creation, annotation, training, and model deployment. Users can import data from various sources, label it using AI-assisted tools, and train models directly on the platform. Roboflow supports exporting models to run via API, on cloud infrastructure, or at the edge. The system is compatible with many open-source frameworks and hardware configurations.
In agriculture, Roboflow’s tools are used for applications such as plant disease detection, weed identification, and crop monitoring. Developers in this domain utilize the platform to train custom models using drone or field images. The system provides support for managing agricultural datasets, including augmentation and labeling workflows, and enables deployment on mobile devices or embedded systems used in farming operations.
Services:
- End-to-end computer vision pipeline for agriculture
- Dataset management, labeling, and augmentation
- Model training and hosted API deployment
- Custom CV solutions for field monitoring
- Integrations for drones, sensors, and cameras
Contact and Social Media Information:
- Website: roboflow.com
- LinkedIn: www.linkedin.com/company/roboflow-ai
- Twitter: x.com/roboflow
17. Saiwa
Saiwa develops artificial intelligence and machine learning tools with a focus on applications in agriculture and environmental monitoring. Their main agricultural platform, Sairone, is an AI-drone system that performs tasks such as invasive species detection, seedling counting, and nitrogen content estimation. The system is designed to collect data via drone flights and analyze imagery using machine learning models for precision farming.
Their technology is used in agricultural scenarios requiring remote sensing and data-driven decision-making. The system integrates with drone hardware and functions without needing changes to existing farm infrastructure. Saiwa also develops other AI solutions under its Fraime platform, which includes services like image annotation, object detection, and authentication tools for broader computer vision applications.
Services:
- AI and ML platform for smart agriculture
- Sairone product for drone-based crop analysis
- Weed and disease detection via image analysis
- Seedling counting and nitrogen estimation
- Visual data annotation and training pipelines
Contact and Social Media Information:
- Website: saiwa.ai
- Address: 4-1426 Wallace Road Oakville, ON L6L 2Y2
- Phone: +15148131809
- E-mail: info@saiwa.ai
- LinkedIn: www.linkedin.com/products/saiwa-sairone
- Twitter: x.com/saiwadotai
- Facebook: www.facebook.com/saiwaco
Conclusion
Companies using computer vision in agriculture are transforming how farmers manage crops, monitor fields, and detect problems early. These tools offer real-time insights through drone imaging, smart sensors, and AI-powered analytics, helping reduce waste and improve yields.
From data labeling and model development to edge deployment and aerial monitoring, the listed companies provide specialized services tailored for modern agriculture. Their technologies contribute to precision farming, automation, and data-driven decision-making.
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