Automation & Robotics for more efficiency

Machine Vision For Agriculture Solutions

Modern agriculture increasingly relies on automation and robotics. MVTec machine vision software enables smart farming applications such as autonomous tractors, drone-based field analysis, automated milking and feeding systems, and inspection of seeds and produce for quality and grading. These solutions help increase productivity, improve resource efficiency, and support sustainable farming practices.

Want to automate your agricultural processes with machine vision?

Key Challenges In Today’s Agriculture

Meeting global food demand while satisfying rising consumer expectations for quality and sustainability.
Protecting the environment and complying with increasingly strict governmental regulations.
Managing limited resources such as water and arable land under changing climate and weather conditions.
Handling high production and labor costs while compensating for a shortage of skilled workers.

How MVTec software enables smart agriculture solutions

MVTec’s flexible, high-performance software architecture accelerates the development of agricultural automation solutions. Developers can rapidly implement machine vision applications for detection, classification, measurement, and robot guidance. This shortens time to market, reduces engineering costs, and enables manufacturers and integrators to adapt quickly to new crops, equipment, and regulations.

PLANT PROTECTION & GREENHOUSE AUTOMATION

Machine Vision Solutions & Benefits

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Efficient Plant Protection

Best-Practice Solution With MVTec Software

agriculture 4.0

farming machinery

Plant protection is essential to ensure high yields and consistent quality. At the same time, stricter regulations and environmental concerns require more targeted and efficient use of crop protection products. Machine vision enables selective spraying by distinguishing crops from weeds in real time.

In a typical setup, an industrial multispectral camera is mounted on a sprayer and captures images of the field. The camera sends the data to an embedded device running MVTec machine vision software. Deep-learning-based object detection identifies weeds between crops and triggers precise herbicide application only where needed.

Targeted application reduces environmental impact.

Crop protection products and resources are used cost-efficiently.

High yields and quality – aligned with environmental regulations and consumer expectations.

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Greenhouse Automation

Automated monitoring & harvesting with MVTec software

Harvesting Robots

Food safety

greenhouse automation

Greenhouse automation with machine vision helps meet growing demand for high-quality produce while maintaining strict hygiene and food safety standards. Automated processes also compensate for labor shortages and support sustainable, continuous production.

In a greenhouse harvesting scenario, a robot monitors and harvests crops such as peppers. A 3D stereo camera generates a 3D point cloud of the plant. Based on this data, MVTec software reconstructs the 3D scene, locates individual fruits, and uses Deep Learning to classify ripeness and plant health. The software then calculates optimal gripping and cutting points so the robot can harvest precisely.

Precise harvest timing ensures optimal product quality.

High system availability reduces personnel bottlenecks.

Reliable monitoring enables early disease detection and reduces harmful substances.

WHITE PAPER

How machine vision automates and optimizes processes in the agricultural industry

Do you know how machine vision automates and optimizes processes in the agricultural industry? Find out in our free white paper how you can increase the efficiency of your agricultural value-added processes sustainably.

To the White Paper

Podcast With MVTec's Technical Director

Future Farming With Machine Vision

This podcast is about the future of agriculture and the challenges that come with it.

Go to the Audio-Video

APPLICATIONS IN PRACTICE

Our Success Stories In Agriculture

Automated inspection device using machine vision to analyze rice grains for quality assessment.

Fast and performant inspection of rice grains with HALCON Embedded

The Japanese company Kett Electric Laboratory researches, develops and sells agricultural measuring devices, among other things. For a company that offers rice, they developed an automated inspection system for rice grains in cooperation with LINX Co…

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HALCON

Agriculture

Food & Beverage

Calibration

Classification

Embedded Vision

Inspection

Semantic Segmentation

Automatic gas cylinder re-test line powered by HALCON

The Swiss Safety Center AG, a MVTec Certified Integration Partner, is a member of the SVTI Group and thus part of a center of excellence in technical safety and risk management. They offer a comprehensive portfolio of services for industry, retail an…

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HALCON

Agriculture

Food & Beverage

Blob Analysis

Inspection

OCR

Object detection of ripe sweet peppers using MVTec HALCON with color- and shape-based analysis from RGB-D camera data.

The sweet pepper robot SWEEPER detects and picks ripe crops using MVTec HALCON

The Wageningen University & Research (WUR) in the Netherlands developed a greenhouse harvesting robot, which is able to pick ripe crops. The shape- and color-based detection algorithm for this task was implemented using MVTec HALCON.

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HALCON

Robotics

Agriculture

Food & Beverage

3D Vision

Classification

Matching

Vision system sorts tomato seedlings - University of Wageningen

The University of Wageningen’s system automates the sorting of tomato seedlings at a rate of up to 18,000 plants per hour. Using ten cameras and 3D modelling, the biomass of each seedling is calculated and classified into quality categories automatic…

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HALCON

Agriculture

Food & Beverage

3D Vision

Calibration

Wheat grains imaged for machine-vision-based quality classification showing variation in size, shape, and color.

Measuring Wheat Quality – TU Ilmenau

TU Ilmenau has developed an automated system for quality analysis of wheat samples. Using MVTec HALCON, 23 classes such as sound wheat, ergot, and foreign seeds are precisely detected. The system processes 50 g of wheat per minute, providing fast and…

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HALCON

Agriculture

Food & Beverage

Classification

Robotic apple picker mounted on a tractor using machine vision for automated fruit harvesting.

Vision System Simplifies Robotic Fruit Picking – ACRO Institute

The ACRO Institute developed a mobile apple-picking robot equipped with a camera inside the gripper and MVTec HALCON image processing software. The robot identifies ripe apples, calculates their position, and performs precise gripping movements. This…

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HALCON

Robotics

Agriculture

Food & Beverage

Packaging & Logistics

3D Vision

Classification

Filtering

Matching

Measuring

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