AgroTech

Smart data-driven agriculture

Our services for agriculture

Productivity and sustainability in the field no longer depend solely on weather or experience. Today, the difference lies in the data.
At Rohu, we apply remote sensing, data science, and artificial intelligence to monitor crops, reduce emissions, and validate inputs with scientific precision.

We design customized solutions using sensors, drones, IoT, and applied artificial intelligence (AKAI™) that transform agricultural operations into intelligent systems capable of anticipating, optimizing, and making accurate decisions.

Data-driven precision agriculture

AgroData360™, understanding your crop to make better decisions.
We monitor physiological variables such as photosynthesis, root biomass, leaf temperature, and humidity using remote sensors and multispectral drones.

With predictive models and real-time processing, we help you adjust water, nutrient, and light usage, improving yield and reducing environmental impact.

Decarbonization and agricultural sustainability

CarbonSense™, fewer emissions, more value We measure gases such as CO₂, CH₄, and N₂O throughout the production cycle to design emission reduction strategies.

We apply solutions such as biochar, biofertilizers, and continuous monitoring, helping companies comply with environmental standards and access carbon offset markets..

Digital evaluation of agricultural inputs and seeds

AgroEvalua™: Validate with data, decide with certainty We conduct agronomic trials using drones, IoT sensors, and phenotypic analysis to evaluate the performance of fertilizers, phytosanitary products, and varieties.

We generate response maps and detailed reports that enable evidence-based decision-making, improving the development and positioning of agricultural products.

Anticipate pests and protect your crops

An agricultural company transformed its production model by integrating sensors, pheromones, and predictive models with AI, reducing the use of chemicals and improving the health of their crops.