Catalogue of Services

Test and experimentation of robotic and AI solutions in field crops

Wageningen Research - WR

Location

Netherlands

Arable farming

Horticulture

Tree Crops

The core business of Wageningen Research - Field Crops is to design and create experimental plots (e.g. at the Farm of the Future) and to collect objective data on crops, weeds, diseases, pests and quality and effectiveness of robotic and AI solutions, in which we provide statistical reliable datasets. Examples of experiments are e.g. testing the accuracy and quality of handsfree harvesting solutions, weeding robots and path following of autonomous implement carriers in field crops. We offer for example the following measurements : -Provide measurements on effectiveness of solutions on control of weeds, pests and diseases (e.g. effectiveness of a weed robot) -Provide timeseries of vegetation indices (drone) -Provide yield measurements (quantity and quality) -Provide plant measurements (emergence, flowering, senescence) -Provide weed countings (including species determination) -Provide sensor data (soil moisture, insect monitoring, etc.) Furthermore we have common agricultural machines and implements available. We can cover different field crops, but we also are specialized in new crop farming systems that are based on agro-ecological principles. Think of strip and mosaic farming. Get in touch to discuss the possibilities for your experiment or test question.

Test and validate intelligent solutions based on sensors to optimise livestock farming

Centre d'Estudis Porcins

Location

Remote

Spain

Livestock farming

The service validates that the tested solution performs as expected by the vendor or manufacturer. The objective is to detect potential mistakes in the sensor readings, the processing of the signal gathered by the sensor or in the intelligent component deriving the final information to be provided to the user to optimize livestock farming . The test can be performed at sensor or application level. The tests and validation can be performed in a laboratory or in an experimental pig farm equipped with automatic and manual measures of different variables (feed, water, CO2, NH3, temperature, ventilation, liveweight, etc.)

Test, validation, and data collection of robotic and AI systems and components for livestock solutions

Wageningen Research - WR

Location

Netherlands

Livestock farming

In the setting of the Farms of the Future (De Marke), we can (physically) test and validate robotic and AI solutions that are dedicated to dairy solutions. In this context we are also able to collect appropriate data sets of these tests and validation experiments. Test and validation data will be compared to ground truth data sets.

Testbed preparation

Łukasiewicz - Poznański Instytut Technologiczny

Location

Poland

Arable farming

Horticulture

Testbed preparation will enable costumers to execute physical tests of their technology/machines/algorithms in line with their expectations. 

Within this service, costumers might get a well prepared flat/slopped arable lands or permanent grasslands. 

We can also prepare a land with "controlled rain conditions" or a dump ground. There is also a possibility of providing and preparation of apiary or a sprinkler for software testing. We can help costumers run physical experiments by preparing a cultivated/non-cultivated fields or run tests on test plots, specially designed for testing. Within the latter, we will take care of such elements like: soil preparation, seed/plant procurement, seeding/planting, plant growth management,  preparation of technical infrastructure. All this to meet your needs to ensure optimal conditions for conducting and monitoring tests.

This service can be executed in fields with various area with system of weather stations, phenological stations and ICT infrastructure. We can also prepare costumers sets of data collected for these areas like archive cultivated plants, treatments, crops, etc.

Testing and Data Analysis for Agritech Solutions

HISPATEC

Location

At user's premises

Remote

Arable farming

Greenhouse

Horticulture

Tree Crops

Viticulture

This experimental service focuses on the provisioning and analysis of customer data for agrotech companies, enabling them to better understand client behavior, optimize service offerings, and improve customer satisfaction. The service involves data collection, cleansing, and advanced analytics, providing insights into customer preferences, usage patterns, and future needs. The goal is to help agrotech companies make data-driven decisions to enhance their products, services, and operational strategies.

Interested in this service? Contact us at innovation@hispatec.com 
 

Testing and evaluation of mobility algorithms with ground robot

National Institute for Research in Digital Science and Technology  - INRIA

Location

At user's premises

France

Arable farming

Food processing

Greenhouse

Horticulture

Tree Crops

Viticulture

The sophia infrastructure offers the possibility to test and evaluate the mobility algorithms embedded on a ground robot. 

Mobility Algorithms concerns the classical robotics functionalities of Mapping, Localization, SLAM, and Navigation. The ground robot is equipped with an array of sensors, including Camera, LiDAR, IMU, and RTK-GPS (for the ground truth evaluation). 

The service consists of three main steps:

1. First of all, the algorithm is evaluated using representative datasets. 
2. After that, the algorithm is integrated in a ROS2 architecture and evaluated with the local agrifoodTEF test infrastructure (different areas are possible). The performance of different attributes of the algorithm is evaluated with quantitative and qualitative metrics. A possibility of benchmarking will be proposed as a complementary option in order to position the performance of the proposed algorithm regarding the current state of the art. 
3. Finally, the last step will be to perform the field testing in real condition and in a particular end-user or customer site using the mobile living lab (it consists of a mobile laboratory going to the field connected with the real robot for monitoring and evaluation purposes). 

Testing and evaluation of mobility algorithms with aerial robot

National Institute for Research in Digital Science and Technology  - INRIA

Location

France

At user's premises

Arable farming

Food processing

Greenhouse

Horticulture

Tree Crops

Viticulture

The sophia infrastructure will offer the possibility to test and evaluate the mobility algorithms embedded on a ground robot. M

obility Algorithms concerns the classical robotics functionalities of Mapping, Localization, SLAM, and Navigation.

The aerial robot is equipped with an array of sensors, including Camera, LiDAR, IMU, and RTK-GPS (for the ground truth evaluation). The service consists of three main steps:

1. First of all, the algorithm is evaluated using representative datasets. 
2. After that, the algorithm is integrated in a ROS2 architecture and evaluated with the local agrifoodTEF test infrastructure (different areas are possible). The performance of different attributes of the algorithm is evaluated with quantitative and qualitative metrics. A possibility of benchmarking will be proposed as a complementary option in order to position the performance of the proposed algorithm regarding the current state of the art. 
3. Finally, the last step will be to perform the field testing in real condition and in a particular end-user or customer site using the mobile living lab (it consists of a mobile laboratory going to the field connected with the real robot for monitoring and evaluation purposes).

Testing and evaluation of variable rate distribution equipment 

University of Cordoba

Location

Spain

Arable farming

This service focuses on the evaluation and testing of variable input distribution technologies, such as seeders and fertiliser spreaders, at the Rabanales Experimental Farm. Through field tests, the service measures variability across plots and monitors crop yield with yield monitors. Satellite data complements these assessments, enabling the creation of zoning and crop prescription maps. These resources help optimise the operation of precision agriculture equipment and improve input efficiency under various ISO standards.

Testing and Validating Crop Variability with Remote Sensing and Predictive Models

University of Cordoba

Location

Spain

Arable farming

Tree Crops

Viticulture

This service measures spatial variability in crops and plots through nearby and remote sensors, including electromagnetic probes, yield monitors, drones, and satellites. The data collected allows for the generation of zoning information and the validation of predictive models and digital agriculture systems, such as variable input distribution tools. By integrating environmental data, the service provides essential insights to improve decision support systems and optimize resource allocation in precision agriculture.

Testing and validation of an AI-based NDVI detection algorithm in a pivot irrigation system

University of Cordoba

Location

Spain

Arable farming

Horticulture

Tree Crops

The evaluation process will encompass a comprehensive analysis of the entire parcel, concentrating on areas where the irrigation system distributes water. Zones with an NDVI below a specific threshold, identified via satellite imagery, will be highlighted. To obtain more granular data, drone flights equipped with LiDAR technology will be conducted, revealing areas of vegetation stress that may not be adequately detected by satellite imagery. The results from both systems will then be cross-referenced to assess irrigation efficiency accurately

Testing and validation of precision livestock farming solutions for grazing animals

University of Cordoba

Location

Spain

Livestock farming

This service supports the testing and validation of precision livestock management tools designed for grazing animals such as horses, cattle, and sheep. Conducted on collaborating research farms, the service evaluates hardware, firmware, and software components to confirm they meet manufacturer specifications. It includes direct observation of animal behaviour and performance, along with comparative analyses against similar tools. Clients receive actionable recommendations to address any detected limitations, enhancing the tool’s functionality and market viability in precision livestock farming.

Testing and validation of the performance of predictive models based on nondestructive spectral sensor data (NIR and hyperspectral data).

University of Cordoba

Location

Spain

Food processing

Horticulture

Tree Crops

Viticulture

This service validates the performance of multivariate predictive models that utilise nondestructive spectral sensor data, such as NIR and hyperspectral imaging. Through statistical and chemometric analysis, the service assesses model accuracy and provides recommendations for optimization. Clients benefit from access to a comprehensive software suite dedicated to chemometrics and statistical studies, as well as options for database transfer to adapt models across devices. The service also includes access to a large agri-food sample bank for model evaluation and refinement.