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Assistance for Identifying AI Technologies for Agricultural Robotics, Drones, and Precision Machinery

Danish Technological Institute

Our service is tailored to support AI technology providers, particularly in robotics and drone sectors, focusing on agricultural applications. We identify AI technologies that boost agricultural efficiency and productivity and offer integration support for embedding AI into agricultural robotics, drones, and precision machinery. Our guidance includes selecting effective AI tools and algorithms for specific agricultural challenges. Additionally, we offer comprehensive screening of AI technologies for agricultural relevance, which supports the company’s seamless integration of AI into existing equipment.

AI model training

Desk assessment

People training

Container image generator that facilitates efficient software testing and deployment

Container images have become the de facto standard for software delivery in a variety of industries, including agrifood. Packaging an application and all its dependencies in a container image ensures consistency across different deployment environments, allowing these applications to be tested more quickly and efficiently. Once the container image is built, it can be run by different container management tools, for example, Docker or Podman.

However, creating secure and optimised container images is often complex. This service simplifies the process by automatically generating container images from the application source code. It detects dependencies and environmental requirements, removing the need for the customer to perform and/or to possess technical expertise in container technologies.
The process is fully automated: the user provides the source code reference with secure access, and the service handles the rest. This eliminates the need to manage image creation files and reduces potential human error during the image creation phase, allowing developers to focus on innovation and functionality.

Test setup

Crop Dataset Generation

Instituut voor Landbouw-, Visserij- en Voedingsonderzoek

In the Crop Dataset Generation service, we collect large-scale datasets on a frequent basis using drones or autonomous robots. AI and data-driven solutions require extensive data, shifting the focus from limited feature engineering to acquiring large, balanced datasets of images and labels for training convolutional deep-learning networks. We offer flexible data collection options tailored to customer needs. We can use our systems and fields to gather data on crops under various conditions, such as different lighting, angles, growth stages, and soil types. Alternatively, we can use customer-provided devices to collect data for testing and validation, such as evaluating sensor performance in detecting heat in crops or testing robot navigation in crop fields.

Collection of test data

Provision of datasets

Data analysis to optimise AI model training

Our service enhances your dataset's quality using descriptive statistics to gain insights and ensure robustness. We use measures like mean, median, standard deviation, etc., to identify central tendencies and variability. We perform plausibility filtering to check for logical consistency and outlier filtering to remove data points that could skew predictions. This careful data preparation refines your dataset, boosting the accuracy and reliability of your model training. Tailored to your needs, these methods optimise your dataset for better model performance.

Data analysis

Data and media labelling for AI training

Institut de l‘Elevage - IDELE

This service specialises in accurately annotating and labelling datasets or multimedia content, including photos, videos, and audio, specifically for training artificial intelligence algorithms in the ruminant livestock sector. By meticulously tagging key features such as animal behaviour, physical conditions, environmental factors, and health indicators, we provide high-quality datasets that enhance the precision of AI models used in livestock monitoring, health assessment, and farm management solutions. Our service ensures that AI solutions for ruminant farming are trained with contextually rich, well-labelled data, enabling the development of advanced tools for animal welfare, productivity optimisation, and predictive analytics in the livestock industry.

Data augmentation

Data augmentation to optimise AI model training and prevent the model from overfitting

In preparing image or sensor data, pre-processing is crucial. We apply techniques like normalisation for data uniformity and correlation analysis to uncover patterns, enhancing interpretability. Dimension reduction optimises computational efficiency, while adding randomised noise and artificial expansion improves model generalisation. We implement anonymisation to protect data privacy and ensure precise data labelling for supervised learning. These methods, tailored to your needs, enhance your data's quality and usability.

Data augmentation

Data labelling

Politecnico di Milano

This service concerns the curation of ground truth annotations for testing and experimentation data. More specifically, data labelling concerns the association of portions of data (e.g., image regions) to descriptions that provide information about the significance of those portions. In particular, labelling is required whenever the data are meant to be used for model training. We also provide labelling services for domain-specific data attributes, such as disease indicators and their confounding factors, by experts in agronomy. The labelled data will be accompanied by a report synthesising quality metrics and statistics like the number of data points annotated, the percentage of the full set covered for the annotations, the number of annotators and the inter-annotator agreement.

Data augmentation

Data pipeline evaluation for AI applications

RISE - Research Institutes of Sweden

The purpose of the service is to ensure that data protocols and pipelines are adequate to the AI application developed by the customer. The service can be delivered at different stages of product maturity to ensure that it can provide targeted testing when it is most useful. During earlier product development stages, the service concentrates on data collection, quality and storage protocols, whilst, at later stages, attention can be extended to scalability, access and control mechanisms.

AI model training

Collection of test data

Data analysis

Performance evaluation

Test execution

Test setup

Data Processing and Analysis

Instituut voor Landbouw-, Visserij- en Voedingsonderzoek

This service transforms your raw agricultural data into valuable insights, enabling clear decision-making and optimised performance. The received data—whether from cameras, crop sensors, or other IoT devices—undergoes a thorough analysis to remove errors, inconsistencies, and outliers. Our pipeline prepares a balanced, high-quality, standardised dataset that complies with data standards, ensuring seamless sharing and interpretation. The dataset is tailored to the specific requirements of your project and delivers clean, organised data, ready for reporting, sharing, or further use in predictive models, trend analysis, or resource optimisation.

Data analysis

Desk assessment

Performance evaluation

Provision of datasets

Data quality analysis of data to be used in agrifood AI or robotics systems

Given a dataset intended to be used in AI or robotics applications for the agrifood sector, a quality analysis will be performed to search for issues in the provided data. Thus, the customer can ensure their data is reliable and suitable for use in this kind of application. The dataset could be an input or an output of an AI process. For example, it could be data to train a predictive system or the output of that predictive system (which allows detecting prediction problems, like predictions out of range or not following the expected output distribution). The kind of issues to search for range from missing values to problems related to data out of distribution. As a result of this service, the client will receive a report with the conclusions and recommendations on how to improve the data, if needed.

Data analysis

Desk assessment

Data validation and processing services

Lukasiewicz - Poznanski Instytut Technologiczny

The service will provide validation and processing of data sets, in particular video data, coming from AI-based systems testing and/or digital measurement and data collection in cloud technologies. The scope of the proposed data validation will include, among other things, the service provider's activities of checking the presence of all data streams in the analysed image or video files, detecting any breaks in transmission, and checking the focus or exposure of the camera images. The next stage of the service will be the preparation of the material for evaluating the performance of AI-based technical systems under test, e.g., by formatting, identifying images containing selected visual markers, or linking images from a given system under test to data of other modalities.

Collection of test data

Data analysis

Performance evaluation

Data valorisation and dataspace integration assessment

Fondazione Bruno Kessler

We provide an analysis of collected data in the context of developing AI-driven agricultural products and services, identifying opportunities for data-value extraction through integration within the agrifoodTEF DataSpace.

Our goal is to help customers understand both the monetary and non-monetary value of their data, as well as the channels through which they can offer it to potential users and buyers.

By analysing supply and demand in relevant Data Spaces, we recommend optimal strategies for describing metadata and adopting the appropriate technological solutions to enhance data visibility, ensuring data owners maintain control over who accesses their information.

Our services include consulting customers on enriching their data systems to adopt data sovereignty and trust solutions, aligning with the European data space strategy.

Data analysis

Data augmentation

Catalogue of Services

All agrifoodTEF services can be customised!