Overview
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.
More about the service
How can the service help you?
The service enables agricultural professionals to gain a detailed understanding of crop variability, enhancing their ability to test and validate predictive monitoring software. With accurate variability measurements, users can make informed decisions on input distribution and sample collection, contributing to optimised crop management and efficient use of resources.
How the service will be delivered
The service is conducted on-site in Spain, with variability measurements collected from various sensors deployed in agricultural plots. Deliverables include detailed zoning maps, variability data sets, and analysis reports. Clients should define specific parameters and have predictive software ready for testing, if applicable.
Service customisation
Customisation includes selecting sensor types and specific parameters for variability assessment. Clients may also request additional environmental data integration or focus on particular crop types or field zones.
Sector
Arable farming
Tree Crops
Viticulture
Test type
Data
Physical system
Software or AI model
Type of service
AI model training
Collection of test data
Data analysis
Desk assessment
Test design
Test execution
Test setup
Country of delivery
Country of delivery:
Service provider(s):
-
University of Cordoba (UCO)
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