SICD (Sistema Integral de Control Distribuido)

AGROTECYL – Sustainable, autonomous, and intelligent fertigation system for crop irrigation.

Project Description:

The AGROTECYL project focuses on the research and development of a sustainable and autonomous fertigation system for crops, based on artificial intelligence. This system will be capable of predicting the irrigation and fertilization needs of crops, optimizing the use of water, energy, and fertilizers. Advanced technologies for the intelligent control of these resources will be investigated, supported by a decision-making system that allows for improved efficiency in agricultural processes. The project aims to generate new capabilities to provide innovative solutions for agriculture, positioning 1A Ingenieros as a leader in advanced agricultural technology.

Project Objectives:

Research and develop an autonomous, intelligent, and sustainable fertigation system that optimizes the use of water, energy, and fertilizers through advanced technologies and artificial intelligence, providing better performance and lower development costs in agricultural facilities.

Specific technical objectives:

1. From the point of view of crops:

  • Study the water, climate, and soil needs of regional crops to develop predictive models.
  • Analyze historical and current data to identify optimal growth parameters.
  • Apply the obtained results to woody crops and other types of plantations.

2. From the perspective of the fertigation system:

  • Investigate technologies that allow for an irrigation-fertilization system adaptable to different crops and territories.
  • Evaluate the most efficient wireless sensors for real-time monitoring and control of crops.
  • Validate these technologies in pistachio plantations, extrapolating the results to other regional crops.

3. From the perspective of Big Data and Artificial Intelligence:

  • Develop a predictive system that integrates databases, theoretical models, and machine learning.
  • Create a decision-making system that anticipates the needs for water, energy, and fertilization.
  • Implement prediction algorithms to minimize water usage and efficiently plan resources.

4. From the perspective of agricultural efficiency and sustainability

  • Research systems that improve energy efficiency and water usage, adapting the irrigation system to available resources.
  • Promote sustainable agricultural practices by optimizing the management of water, renewable energy, and biodiversity.
  • Implement precision farming techniques to enhance crop monitoring and management

Project Duration:

2017 – 2018

Regional project in cooperation with:

ITCL Centro Tecnológico

Funded by:

Finance for the implementation of R&D projects for SMEs in Castilla y León (2016) co-financed by ERDF

Contact:

Miguel Portal – Head of Applied Electronics miguel.portal@itcl.es