Validation of irrigation AI models through soil samples

Through the data obtained from the collection of soil samples, testing the recalibration of the irrigation model in different irrigation systems with artificial intelligence.

Interested in this service? Contact us at fmarquez@uco.es 

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Overview

This service involves the validation of irrigation optimization systems using intelligent irrigation technologies available on the farm. It includes physicochemical parameters of the soil, 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.

More about the service

How can the service help you?

The validation of the service developed by the customer addresses the critical needs for optimised water distribution and improved agricultural efficiency. Before using this service, companies may struggle with inconsistent irrigation models, leading to either over- or under-irrigation, which can negatively impact crop health and yield. By testing soil moisture values, the service ensures that water and inputs are distributed accurately based on real-time conditions, crop types, and soil properties. After implementing the service, companies benefit from improved system accuracy and enhanced productivity through tailored water and nutrient application across different crops and conditions.

How the service will be delivered

It is carried out at the Rabanales Experimental Farm facilities in Rabanales. Due to the need for field sampling and irrigation to analyse its efficiency, the service must be adapted to the crop cycle on which the evaluation is conducted. This crop must be one of those sown in the plots where the irrigation system to be tested is installed. The customer will provide the mathematical irrigation model. The customer will receive a final report with the results of the service.

Service customisation

The service will be customised according to customer needs (model, pivot, crop, season…).
Sector
Arable farming
Horticulture
Tree Crops
Test type
Data
Physical system
Software or AI model
Type of service
Collection of test data
Data analysis
Performance evaluation
Test design
Test execution
Test setup
Country of delivery
Country of delivery: Spain
Service provider(s):
  • University of Cordoba (UCO)
    Spain
    | Website
WHAT WE DELIVERED

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