Catalogue of Services

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Testing and validation using pilot and lab scale test beds for agricultural AI solutions

Danish Technological Institute

Our pilot and lab scale testbeds provide a controlled environment for customers to execute physical tests of their agricultural technology, machines, or algorithms. These testbeds can be configured to simulate real-world agricultural environments, allowing for precise control and monitoring of variables. This setup enables AI models to be trained and refined using accurate, real-time data. The testbeds incorporate automation to mimic various agricultural tasks, offering a comprehensive platform for testing and optimising AI-driven agricultural solutions. This service bridges the gap between theoretical development and practical application in the agricultural sector.

Collection of test data

Data analysis

Performance evaluation

Test design

Test execution

Test setup

Testing of Integration with Advanced Sensors for Agricultural Monitoring

This service provides the integration of advanced sensors into agricultural operations, enabling real-time monitoring of critical environmental factors such as soil moisture, temperature, and crop growth. By collecting accurate, real-time data, the service allows farmers and agribusinesses to make informed decisions about irrigation, fertilisation, and other management tasks. The precise data helps optimise resource use and improve crop yields while reducing costs and environmental impact.

Provision of datasets

Test execution

Test setup

Testing of plant detection

Our digital test helps you evaluate how well your model identifies different types of plants. Your model can be delivered in a docker container or the inference results are collected in real time from your device in the field. We focus on key performance metrics like accuracy, precision, recall, Intersection over Union (IoU), and F1 score to give you a clear picture of your model's effectiveness. Crucial to this process is the ground truth data, which can be either specially prepared for this test or sourced from an existing benchmark dataset.

Testing of spot spraying performance

Our spot spraying test service precisely checks how well your spraying system works under real-world conditions. The innovative approach allows for immediate documentation of the spray distribution without altering the spraying process. After application, we document the spread pattern and analyse this data to assess how effectively and precisely the liquid targets the intended areas. This enables you to fine-tune application techniques and evaluate herbicide effects, ensuring your spraying strategies are both efficient and environmentally conscious.

Collection of test data

Performance evaluation

Test design

Test execution

Test setup

Testing of weeding performance

Our service offers comprehensive field trials to test the performance of your AI-based weeding system. Before the system operates, we record essential environmental data such as soil conditions and weather. We assess the crops and weeds either manually or with automated tools, and re-evaluate them post-weeding to measure the system's effectiveness. Our trials can be conducted on fields provided by us or at external locations of your choosing. This testing gives you clear, objective insights into your system’s performance and helps identify any potential issues under real-world conditions.

Collection of test data

Performance evaluation

Test design

Test execution

Test setup

Testing or verification of the soil sample size needed for irrigation model recalibration

University of Cordoba

This service involves the testing or verification of the soil sample size needed for the recalibration of the model in intelligent irrigation systems. It includes physicochemical parameters of the soil, and variable distribution of water and supplies. Observations are systematic and cover different conditions and crops to verify model accuracy and the effectiveness of site-specific input distribution.

Collection of test data

Data analysis

Performance evaluation

Test design

Test execution

Test setup

Testing the recalibration of irrigation model through soil moisture sample values, soil sensors, and crop management data

University of Cordoba

Irrigation models are validated using simulations based on various data sources, such as climatic and crop data. This ensures accurate water distribution, reduces waste, and enhances crop yields across diverse conditions. It includes physicochemical parameters of the soil, and variable distribution of water and supplies. Observations are systematic and cover different conditions and crops to verify model accuracy and the effectiveness of site-specific input distribution.

Collection of test data

Data analysis

Performance evaluation

Test design

Test execution

Test setup

UAV: Collection of test data during physical testing

University of Cordoba

This service facilitates the collection of test data during physical UAV-based testing, including data generated by the system under test, UAV sensors (e.g., hyperspectral, multispectral, thermal, and RGB), and ground truth data. It also ensures detailed documentation to support reproducibility, such as descriptions of logged features. This service is essential for clients who need precise and well-documented data for AI model training, validation, and robust agricultural research.

Data analysis

Provision of datasets

Test design

Test setup

Usability & UX testing

Our service evaluates both, the physical components and user interface of your product to ensure they meet high usability and user experience standards. Participants from a representative test group perform specific tasks that reflect the product's application, followed by a questionnaire to gather their insights. We analyse these responses to provide you with both qualitative and quantitative feedback in a detailed report. This process helps you fine-tune your product to better meet user needs.

Collection of test data

Performance evaluation

Test design

Test execution

Test setup

User Experience (UX) Evaluation

Universitat de Lleida

This service is offered by the UsabiliLAB, which specializes in advancing the usability and accessibility of interactive products and services. The service helps companies, particularly SMEs, develop AI and robotics solutions that are not only innovative but also more efficient, effective and user-friendly, while considering their accessibility.

The UsabiliLAB offers assessments and provides actionable insights to enhance usability and accessibility across various platforms, including:

Web Pages: we evaluate and refine agricultural web platforms to make them more intuitive and accessible.
Mobile Applications: our detailed assessments help improve the usability of mobile apps, making them more user-friendly and accessible to a wider audience.
Other Interactive Products: from software interfaces to agricultural machinery, we analyze and improve any product with a user interface, ensuring that they are easy to use and meet the needs of your target audience.

Conformity assessment

Performance evaluation

Test design

Test execution

Test setup

User Experience (UX) Evaluation

Universitat de Lleida

This service is offered by the UsabiliLAB, which specialises in advancing the usability and accessibility of interactive products and services. The service helps companies, particularly SMEs, develop AI and robotics solutions that are not only innovative but also more efficient, effective, and user-friendlier, while considering their accessibility.

The UsabiliLAB offers assessments, including conformity regarding relevant standards, and provides actionable insights to enhance usability and accessibility across various platforms, including:

Web Pages: We evaluate and refine agricultural web platforms to make them more intuitive and accessible.
Mobile Applications: Our detailed assessments help improve the usability of mobile apps, making them more user-friendly and accessible to a wider audience.
Other Interactive Products: from software interfaces to agricultural machinery, we analyse and improve any product with a user interface, ensuring that they are easy to use and meet the needs of your target audience.

Collection of test data

Conformity assessment

Validating Crop Models Using Proximate Sensor Technology

University of Cordoba

This service provides a comprehensive network of proximate sensors at the Rabanales Experimental Farm to monitor and model crop growth and environmental conditions. The sensor setup includes devices that measure humidity, radiation, electrical conductivity, NDVI, temperature, and other key parameters. Data collected from these sensors enables detailed evaluations of crop development, helping clients understand productivity potential and refine complex agricultural models for eco-efficient crop management.

Collection of test data

Data analysis

Desk assessment

Provision of datasets

Test design

Test execution

Test setup