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In Instacrops we can hear what your plants are saying!

Minimize the risk and increase the profitability of your crop

ABOUT US

Instacrops is a virtual crop advisor that, through an artificial intelligence-based application, detects irrigation, nutrient, pest, and disease issues, enabling real-time monitoring of fields.

Our mission is to keep farmers informed about their crops’ needs, empowering them to make timely decisions that optimize resource usage and maximize crop yield.

Ready to transform your crops and maximize your production? Join Instacrops today and take the first step towards more efficient and profitable agriculture! 🌟🌱

OUR TECHNOLOGY DETECTS IRRIGATION PROBLEMS, NUTRIENTS, PESTS AND DISEASES.

WHAT WE LOVE TO DO 

Big Data and virtual assistance

Our efficient water replacement model is powered by Artificial Intelligence, Deep Learning and expert advisors who will help you improve the productive potential of your crop. We have a team of IT agronomists who will be your advisors.

Plug & Play technology

We are constantly improving our Hardware to facilitate installation processes, wherever you are. Our IoT devices are Plug & Play and we are able to manage health status in real time.

Research and continuous development

We work closely with our clients and applied Research and Development institutions to generate new solutions based on predictive models to anticipate problems.

Remote monitoring and control 

We measure, process and interpret parameters of climate, soil moisture, irrigation system and plants conditions in any type of crop, whether specialty or row.

GET FIELD INSIGHTS THROUGH SATELLITE IMAGES WITH SKYCROPS

You’ll have access to 4 vegetation indices

NDVI - Normalized Difference Vegetation Index

This index is widely used in agriculture and is employed to assess the crop’s health status and biomass.

NDWI - Normalized Difference Water Index

Is an index for delineating and monitoring content changes in surface water, enabling the measurement of soil moisture content.

SAVI - Soil-Adjusted Vegetation Index

Used for analyzing young crops or regions with sparse vegetation, this indicator minimizes soil brightness influences through a correction factor.

gNDVI - Green Normalized Difference Vegetation Index

Estimates photosynthetic activity, providing insights into water and nitrogen consumption in vegetation cover.

ARTIFICIAL INTELLIGENCE (AI)

Our company strives to take advantage of the state of the art in image processing and artificial intelligence by making them available to farmers around the world.

Our stations collect minute-by-minute data of the entire crop, integrating leading sensorization and remote sensing technologies, which allows us to develop software-based technology to monitor crops, soil health and improve water efficiency.

Being one of the companies that will lead this revolution, we have an incredible team and we are attracting great interest and support from clients and investors alike.

CUSTOMERS

 
 
300+
CUSTOMERS IN 8 COUNTRIES 🙂
5+ billion
Litres of water saved
70.000+
ACRES CONNECTED

Contact us

Contact the sales executive according to your region
Chile

Regions VI and VII – North
Pablo Cardemil
 +56 9 7768 3171
 [email protected]

VII – Sur to X
Juan Pablo Muñoz
+56 9 4792 9808
[email protected]

Colombia
México

Juan José Soto
[email protected]

Andrey González
[email protected]

Luis Sepúlveda
[email protected]

Or complete the form below and we will contact you shortly

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FRIENDS WITH:

 
SQM
BASF
COOPRINSEM
Proveedora Tecomán
BAM
Logo Magical Startups
Start-up chile
global ventures
corfo
Agryd
ProChile
 

We are your virtual agricultural advisor. Through our services you will get real time recommendations with actionable insights, in order to improve your crops using the precise resources.

Our offices:

Chile

Address: Barros Borgoño 160, office Nº602, Providencia, Santiago

Colombia

Address: CARRERA 3, Nº10 – 49, office Nº506, Cali - Colombia

Mexico

Address: Prol. López Mateos 5560, office Nº26, El Manantial, Tlajomulco de Zúñiga, Jalisco

Links of interest: