IRRIGOPTIMAL®
IRRIGOPTIMAL® is an integrated agricultural management system composed of six interconnected modules. It monitors soil and climate (including GDD), optimizes irrigation using AI-based predictive plans, and manages nutrients such as NPK and pH. It also detects diseases and pests early through image analysis, providing recommendations. Finally, it automatically executes irrigation with precision according to crop needs.
Country:
The IRRIGOPTIMAL® system consists of six interconnected modules that cover comprehensive crop management. The Field Monitoring module tracks soil and climate parameters, including Growing Degree Days (GDD), and analyzes historical data to support decision-making. The Irrigation Planning module uses Artificial Intelligence to generate three-day predictive plans, defines customized water stress levels, and identifies optimal irrigation schedules to optimize water use.
Nutrient Management monitors NPK levels (Nitrogen, Phosphorus, and Potassium), soil pH, and CO₂ levels in greenhouses to maintain ideal growing conditions. Disease Monitoring detects pathogens at early stages through leaf image analysis and provides preventive and corrective recommendations. Pest Monitoring offers early warnings, identifies insect species in real time, and suggests specific control actions.
Finally, the Automatic Irrigation module remotely executes the calculated irrigation plan, controlling actuators by sector or row to ensure precise water application according to system guidelines.
Water production and storage and water use efficiency
Main theme:
Europe
Region:
450 - 550
Precipitation (mm):
Medium
Application difficulty:
2, 3, 9 and 13
SDGs impacted:
Electric
Energy used:
70 - 90
Efficiency (%):
Urban/Rural
Sector:
It generates a transformative positive environmental impact across multiple dimensions of modern agriculture. In terms of water conservation, the system significantly reduces water consumption by intelligently optimizing each irrigation application, preserving this scarce resource for future generations.
Regarding productive efficiency, it maximizes crop yields by maintaining optimal growing conditions, enabling more food production with fewer natural resources and reducing pressure on new agricultural land. Its technological precision relies on real-time data and Artificial Intelligence, eliminating excessive use of chemical inputs and minimizing soil and groundwater contamination.
Preventive phytosanitary protection detects diseases and pests at early stages, drastically reducing the need for large-scale pesticide applications that harm biodiversity and surrounding ecosystems. Irrigation automation enables remote control and autonomous management, eliminating waste caused by human error and ensuring every drop of water is used efficiently.
Finally, personalized adaptation ensures that each configuration is tailored to the specific needs of each crop and environment, preventing resource overexploitation in fragile soils and promoting regenerative agricultural practices.
Expected environmental impact:
$1.500 - $3.000
Estimated value:
1- G7 Siracusa. Efficientamento idrico e intelligenza artificiale: progetto pilota di Acireale per la Regione Siciliana | La Voce dell'Isola 2- Irrigoptimal: A Maltese artificial intelligence solution tackling climate change (timesofmalta.com) 3- Maltese technology IRRIGOPTIMAL® revolutionises digital agriculture in Ghana 4- FAO and agritech innovators join hands to create digital demo farm 5- L’Intelligenza Artificiale per salvare l’agricoltura - La Sicilia 6- Tackling Water Scarcity in Grenada using Artificial Intelligence: Introduction - GWP
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