Water consumption
Irrigation optimization based on agronomic data and real field conditions.
Qartia promotes the digital transformation of the countryside through sensorization IoT, Artificial Intelligence, digital twin, agrivoltaics and wireless connectivity adapted to agricultural operations, greenhouses and rural environments.
Our technology allows real-time monitoring of the crop, microclimate, soil, water, energy and infrastructure, generating a unified operational layer to decide with greater precision and less uncertainty.
With Qartia, the farm can anticipate irrigation, fertilization, crop stress and energy consumption, incorporating operational recommendations and pilots aimed at measurable economic return.
As a differential value, Qartia integrates the agricultural operation with wireless networks, edge deployment, advanced analysis and self-consumption models, allowing it to evolve towards more efficient, resilient and energetically autonomous farms.
Irrigation optimization based on agronomic data and real field conditions.
Better adjustment of cultivation, microclimate and operational decisions on the farm.
Reduction of water, fertilizers, energy and hours of inefficient operation.
Executive pilot design with verifiable technical and economic impact.
The values are indicative estimates and must be validated in a pilot according to crop, location and infrastructure.
The exploitation responds late because the data arrives fragmented or does not arrive with the necessary continuity.
Operational adjustments are made with fixed rules, without a continuous reading of the real state of the crop.
Rural or greenhouse coverage conditions the reliability of the data and delays decisions.
The detection of deviations comes when the productive impact is already visible.
Irrigation, energy, climate and production operate in silos and do not maximize overall performance.
Without a structured pilot and clear KPIs, it is difficult to justify large-scale implementation.
IoT sensors for soil, environment, radiation, CO₂, humidity and temperature, among others.
Robust networks for rural environments: private without operator (LoRa/DECT NR+) or with operator (NB-IoT).
AI models to anticipate irrigation, fertilization, water stress and critical conditions.
Operational recommendations, automation and continuous improvement of the crop.
Continuous monitoring of the crop, microclimate and infrastructure.
Prediction of water, nutritional and energy needs.
Simulation of scenarios to optimize decisions without operational risk.
Balance between solar generation, shade, available light and agricultural yield.
Reliable private connectivity on farms, greenhouses and remote areas.
Reduction of water, fertilizers, energy and operating costs.
A complete flow to capture variables from the field, process them and convert them into visual decisions or actions on the farm.
The platform can be deployed in cloud, on-premise or hybrid architecture, integrating with existing sensors or with its own deployment Qartia.
Qartia allows you to design and operate agrivoltaic systems that balance agricultural production and solar generation. Through simulation, AI and sensorization, the exploitation can advance towards models of self-consumption and energy independence.
Crop selection, exploitation, infrastructure and KPIs.
Installation of sensors, validation of coverage and data quality.
Predictive models, actionable alerts and technical recommendations.
Impact report, economic proposal and implementation plan.
Qartia integrates wireless connectivity (private without operator - LoRa/DECT NR+ or traditional with operator - NB-IoT), applied AI, digital twin, agrivoltaics, operational optimization and ROI focus in a single platform.
Executive summary, capabilities, architecture, agrivoltaics and pilot proposal in a format prepared for presentation and printing.
Request a Qartia pilot and validate the technical and economic impact on your crop, infrastructure and energy model.