Catalogue of Services

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

Danish Technological Institute

Location

Denmark

Remote

Arable farming

Food processing

Greenhouse

Horticulture

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.

Business Model and Market Development Support for Robotic and AI Solutions in Livestock Farming

Wageningen Research - WR

Location

Netherlands

Remote

Livestock farming

WUR and Agro-Innovation Centre De Marke have extensive knowledge of the dairy market developments in the Netherlands and Western Europe. They are able to advise customers of these market trends, can do specific market research, and can support doing a proper business model analysis for the specific knowledge. We have dedicated business developers and a large group of specialists on the team. Additionally, the large farmers network of Agro-Innovation Centre De Marke can be used to organise feedback sessions with end-users and their dealers. 

Co-innovation, test and support on sensors and practical robots for livestock farming

Wageningen Research - WR

Location

Netherlands

Remote

Livestock farming

Provision of practical and scientifically based input and collaboration in designing robotic AI systems and components for livestock farming solutions.
 

Receive practical and scientific input for the (re)design of sensors and robotics; help with decision support on dairy farms that meet agro-ecological F2F criteria, located in Hengelo Gld. and Leeuwarden.
Access to high-end end-users in a country takes lots of time and effort. Thanks to the multiple regional experimental farms, Wageningen Research has a wide and easily accessible farm and dealer network. Additionally, researchers at Wageningen Livestock Research have a practical approach and know what's needed and required to implement new technologies in farms, therefore fulfilling a bridge between agronomy, technology, and ecology. By testing and demonstrating the products or services to our farm managers and farm networks in specific regions, we can gather valuable feedback and help speed up the developmental stage of the tested prototypes. 

Computer vision for automated food quality assessments

Universitat de Lleida

Location

Remote

Spain

Food processing

Validation of an existing automated food quality assessment solution based on Artificial Intelligence, in particular Computer Vision techniques. The service will help the solution provider check its performance using a controlled testing infrastructure, including our Food Processing Pilot Plant. The service might also include the generation of reference datasets of food samples and expected quality measures, which can be used both for validation and training of the Artificial Intelligence solution based on Computer Vision.

Computer Vision for automated food quality assessment

Universitat de Lleida

Location

Remote

Spain

Food processing

Validation of an existing automated food quality assessment solution based on artificial intelligence, in particular computer vision techniques. The service will help the solution provider check its performance using a controlled testing infrastructure, including our Food Processing Pilot Plant. The service might also include the generation of reference datasets of food samples and expected quality measures, which can be used both for validation and training of the artificial intelligence solution based on computer vision.

Crop Dataset Generation

Instituut voor Landbouw-, Visserij- en Voedingsonderzoek

Location

At user's premises

Belgium

Remote

Arable farming

Greenhouse

Horticulture

Tree Crops

Viticulture

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.

Data analysis support for specific and long-term data sets for arable and livestock farming data sets

Wageningen Research - WR

Location

Netherlands

Remote

Livestock farming

WUR experts are available for analysis or advice to extract information from large and multiple-source data sets as provided with the service “Provision of specific and long-term data sets for arable and livestock farming data from the Farm of the Future experimental farms (S00132).”
It is also possible to analyse datasets of clients that are used for the development of sensors, AI, and robotic solutions. 

Data analysis to optimise AI model training

Josephinum Research

Location

Remote

Arable farming

Horticulture

Livestock farming

Tree Crops

Viticulture

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 and media labelling for AI training

Institut de l‘Elevage - IDELE

Location

Remote

Tree Crops

This service specializes in accurately annotating and labeling 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 behavior, 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-labeled data, enabling the development of advanced tools for animal welfare, productivity optimization, and predictive analytics in the livestock industry.

Data and media labelling for AI training

Institut de l‘Elevage - IDELE

Location

Remote

Arable farming

Livestock farming

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 to optimise AI model training and prevent the model from overfitting

Josephinum Research

Location

Austria

Remote

Arable farming

Horticulture

Livestock farming

Tree Crops

Viticulture

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.