Technology to boost your crops
Get real-time visibility and forecast on the conditions of your crops.

Why AgroSemantics?

Our platform for agricultural production analysis synthesizes information to build estimates and anticipate possible risks for your crops, based on historical and forecasted data.

AgroSemantics uses datasets generated by sensors in crop fields to feed the advanced analytics infrastructure and therefore deliver relevant information for growers and stakeholders.

Join easily with our app: just select your data source, the type of crop and get valuable information instantly applying our algorithm base.

We’re excited for everything that can be done

0 K
data points

can be generated per day in an average crop field, helping growers improve yields and increase profits.

[Business Insider (2020)]

0
billions of people

will inhabit the world by 2050, which will require farmers to raise food production by 70% through more efficient methods.

[ONU Global Agriculture]

0 %
of crop yields

worldwide are lost due to climate variation. Climate change is a reality that affects everyone.

[Nature]

Collect + Analyze + Predict = Smart Farming

AgroSemantics uses information and communication technologies to simplify data analysis and generate relevant and timely information on crops, optimizing production processes and resources.

  • Collect

    Measurements from the monitoring devices located in the fields or greenhouses are collected, plus additional sources such as meteorological predictions.

  • Analyze

    Upon receiving the data, our platform performs automatic analysis using our database of algorithms determined by domain experts and parameters set by our clients.

  • Predict

    Thanks to predictive analysis, get the risk assessment on your crops through notifications and alerts.

AgroSemantics has a wide range of applications for analyzing crop data in open fields and greenhouses.

Key features

Plan your harvests through the efficient use of resources

Learn the precise conditions of your crops

Make informed decisions with the dynamic view of the statistical data

Optimize response times thanks to predictive analytics

Calibrate the risk tolerance of your crops easily and in real time

Develop and run algorithms on your data in a self-scalable way

Take advantage of our flexibility to integrate with other systems

Use the platform for free to improve organic orchards or small crops

Integrate your sensing equipment easily and get valuable analysis on your crops.

Current Cooperation Projects

RUC-APS Partner
RUC-APS Partner
AgroSemantics is recognized as a partner in the scientific and technological cooperation programs within the framework of Horizon 2020, a project from the European Community. With this role, we are part of the project "Risk / Uncertainty / Collaboration - Agriculture Production Systems", in which we work together with universities and research centers in the UK, Italy and Spain, using technology to reduce the risk of farmers.
INTA Ally
INTA Ally
We have been developing joint projects with the National Institute of Agricultural Technology of Argentina (INTA) since 2018, which aim to establish parameters and indicators to improve the commercial production of kiwi: such as chill hours, the most suitable hours for sustainable bee pollination, frost forecast and plague prediction, among others.
R&D Yield Prediction
R&D Yield Prediction
We are part of a joint effort to have accurate early prediction of yield of Kiwi Fruit combining AI, image processing and meteorological data analysis. This R&D project is funded by Universidad Nacional del Oeste and it includes experts from different areas such as: Agronomy, Embedded Systems, Electronics, IoT and Data Science.
Potato Lifecycle under Storage Conditions
Potato Lifecycle under Storage Conditions
We are conducting mirror experiments with a strategic partner in Canada about the gases generated by the decomposition process of potatoes under different storage conditions. We are finding the right set of sensors to capture the important gases and developing data analysis algorithms to help producers to do early detection and management of spoilage problems.

Join the Smart Farming transformation and take advantage of its benefits with AgroSemantics!

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