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Integrated differentiated fertilization application system utilizing an innovative artificial intelligence system in linear crops.

Within the framework of the Operational Program Competitiveness-Entrepreneurship-Innovation (EPAnEK 2014-2020) | November 26, 2020 – April 26, 2023

irisTECH aims to develop an innovative, user-friendly and low-cost variable fertilization application system for linear planting crops. The project is based on hyperspectral sensors and actuators combined with the functions of an artificial intelligence system for the real-time identification of the field’s fertilizer needs and the on-site application of granular fertilizers with the necessary dosage if required.
The project “Integrated differentiated fertilization application system utilizing an innovative artificial intelligence system in linear crops” with the acronym irisTECH and project code T2EDK-02936 is implemented with the co-financing of the European Union and national funds, through the OP Competitiveness, Entrepreneurship & Innovation, within the framework of the RESEARCH – CREATE – INNOVATE action

OBJECTIVE / GOAL

The irisTECH project is an effort to develop an innovative, easy-to-use and low-cost variable granular fertilizer application system for linear crops. The system’s operation is based on the following:

  • A hyperspectral sensor combined with an intelligent artificial intelligence system
  • An accessory linear fertilizer spreader with microcontrollers in the furrow system and a high-precision geographic positioning system (GNSS)

With the combined operation of all these subsystems, the identification of fertilization needs and the application of granular fertilizers is done in real time with personalized doses.

ACTION/IMPLEMENTATION

The integrated irisTECH system was implemented by following the following steps:

Creation of Machine Learning Algorithms for the accurate, effective and efficient estimation of soil parameters. – Development of data visualization and storage software. – Design and development of an information system based on cloud technologies. – Development of a hyperspectral system for its adaptation to an agricultural tractor. – Construction of the variable fertilization fertilizer distributor accessory. – Recording of the current state of the plant using the hyperspectral sensor. – Processing of data on an “onboard” graphics card. – Sending the information to the cloud. – Production of spatial information and quantification of soil fertilization needs. – Activation of a fertilizer quantity measuring mechanism by the controller. – Visualization and direct application of fertilizer in real time.

EXPECTED RESULTS

Increased efficiency and time savings (+30%) due to real-time analysis/control of linear fertilizer spreader
Increased accuracy (+15%) based on the use of artificial intelligence algorithms
Increased cotton fiber quality due to greater and more uniform production
Increased production (15%) due to uniform linear lubrication distribution
Saving fertilizer (-20%), thus improving the economic efficiency of Greek cotton farmers.
Reduction in production costs due to reduced inputs
Increase in the use of intelligent systems (15%) on farms
Economic development of the agri-food sector as the restructuring and modernization of farms is facilitated
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