Overview
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.
More about the service
Discover more about our service, including how it can benefit you, the delivery process, and the options for customisation tailored to your specific needs!
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 sample size, the service ensures that water and inputs are distributed accurately based on real-time conditions and soil properties. After implementing the service, companies benefit from an improved system accuracy, and enhanced productivity through tailored water and nutrient application across different crops and conditions.
The service takes place at the Rabanales Experimental Farm facilities in Rabanales and is tailored to align with the crop cycle under evaluation. Field sampling and irrigation are essential to assess efficiency, so the crop must be one of those cultivated in the plots where the irrigation system being tested is installed. The customer is responsible for providing the mathematical irrigation model. Upon completion, a detailed final report outlining the service results will be delivered to the customer.
The service will be customised according to customer needs (model, pivot, crop, season…).
Location
Spain
Type of Sector
Arable farming
Horticulture
Tree Crops
Type of service
Collection of test data
Data analysis
Performance evaluation
Test design
Test execution
Test setup
Accepted type of products
Data
Physical system
Software or AI model
