Catalogue of Services

Location

Spain

Arable farming

This service provides testing and experimentation support for satellite-based models aimed at yield estimation and pre-harvest assessments. By leveraging remote sensing data, clients can develop and validate models that predict agricultural outputs, enhancing decision-making processes in arable farming. This service is ideal for clients seeking to integrate precision agriculture techniques using satellite imagery to optimise crop management and planning.

Provision of datasets

Satellite: Evaluation of results of physical testing

This service offers an evaluation of satellite-derived data quality by applying performance metrics that assess model reliability and effectiveness. The service includes a comprehensive analysis of test data and previously collected ground truth data to validate the performance of models used in precision agriculture. With a detailed performance report, clients receive valuable insights that support model improvement and informed decision-making in agricultural management.

Technology Setup and Integration for Agricultural Production Testing

This experimental service focuses on the initial setup and integration of new technologies within the client’s production environment. The process includes connecting hardware and software systems, configuring settings, and ensuring that the technology is fully operational and integrated with existing workflows. The integration is performed with minimal disruption to daily operations and includes tests to ensure compatibility and optimal performance from the start.

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

Centre d'Estudis Porcins

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.)

Testing and Data Analysis for Agritech Solutions

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 variable rate distribution equipment

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.

Desk assessment

Testing and Validating Crop Variability with Remote Sensing and Predictive Models

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.

AI model training

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

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

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.

Conformity assessment

Provision of datasets

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

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.

AI model training

Conformity assessment

People training

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

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

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.