Deep Learning applied to agriculture

Generative AI for weed detection

Products



Deepagro
NVIDIA Inception
Microsoft for Startups
Thrive Agrifood
XTC Extreme Tech Challenge
Zurich Innovation Championship
Premios Everis | NTT Data

About Us

We are a committed group of scientists and engineers who are imagining and building a brighter future for agriculture. We aim to generate disruptive models to improve the quality of life of the farmer, applying Science and Technology and conserving the environment.

We develop AI solutions with the following scopes:

  • Selective Spraying
  • AI Applied in Sowing
  • Monitoring and Diagnostics

DeepAgro's potential lies in the possibility of the continual development of artificial intelligence solutions for the farmer. The application of our products ranges from generating weed maps, monitoring crop health, to intelligently combating pests, where reducing the amount of toxic agrochemicals used is of worldwide concern.

Vision: "To be a company of great relevance in the field of AI applied to agriculture in order to create a more sustainable world."
Mission: "To bring the latest AI technologies to solve agri-environmental problems. To be a leader among Latam producers and work with the best AI talent."

Learn More
Sprai Selective Spraying

SPRAI

Selective application of agrochemicals in real time

We have developed an intelligent weed detection system to selectively apply herbicides at any stage of soybean crop growth. It allows savings of up to 90% in agrochemicals depending on the amount of weeds present in the lot.

Learn More SprAI
Learn more about our selective application solution
Real-time weed recognition
Deepagro Ostrich APIs

Ostrich

Your Agricultural Data Integration Hub

DeepAgro Ostrich, our SaaS platform, is designed to serve as an ecosystem of APIs. It's your gateway to seamlessly integrate, standardize, and make sense of (real-time) data from your farm or agricultural business, streamlining information from various sources.



Learn More Ostrich

Team

MEET OUR FOUNDERS

Deepagro was born in 2017, where we tried to bring what we learned about AI in the academy to the place where we grew up. Juan Manuel, the first founder, comes from a farming family and by specialising in deep learning, he had a dream of bringing the two worlds together to reduce the use of agrochemicals.

Ivan Regali

CCO

Juan Ignacio Cavalieri

CTO

Juan Manuel Baruffaldi

CEO

Marcos Mammarella

CSM

Juan Ignacio Cornet

CRO

Frequently Asked Questions

SprAI – Selective spraying with AI

SprAI is a computer vision system that detects weeds in real time and controls spray nozzles to apply herbicide only where needed. This achieves savings of 70–90% in agrochemicals depending on weed pressure and management strategy.

RGB cameras capture the field view; AI models differentiate crop from weed by morphology and context. The system actuates valves within milliseconds to dose herbicide only on weeds, both in fallow and in-crop scenarios.

Soybean and corn; in beta: cotton, peanut and sugarcane. Under development: wheat, sunflower, beans and more.

Depending on weed infestation and herbicide mix, producers typically reduce over 75% of sprayed volume, achieving savings of USD 20–40 per hectare (or more) compared to uniform spraying.

Fewer liters and containers per hectare, lower risk of phytotoxicity, less water used in mixes, and full traceability of applications by plot.

Yes. It is a retrofit kit adaptable to self-propelled and trailed sprayers. DeepAgro provides integration, calibration and after-sales support.

If you are looking for large-scale selective spraying within crops, SprAI is the recommended solution.

SprAI integrates into field sprayers and uses RGB cameras with artificial intelligence to detect weeds by morphology and context. This allows herbicide to be applied only on weeds, achieving 70–90% savings in agrochemicals, reduced operating costs, and lower environmental impact.

It also provides full traceability of each application, reports accessible from the cab and online platform, specialized technical support to ensure maximum field performance, the best price on the market and excellent financing options to make adoption easier.

Not for detection and spraying. Connectivity is only used for reports, support and updates.

Selective spraying is an innovative approach where herbicide is applied only on weeds rather than uniformly across the entire field. Unlike traditional spraying, selective spraying leverages sensors, cameras and artificial intelligence to identify weeds and direct herbicide precisely where it is needed. This reduces herbicide use by 70–90%, saves costs, lowers phytotoxicity risks and significantly decreases environmental impact. With SprAI, DeepAgro takes this concept further: detecting weeds even inside standing crops (weed in crops) using RGB cameras and computer vision algorithms that analyze plant morphology and context.

Weedit and WeedSeeker are sensor-based systems that detect vegetation on bare soil. SprAI, on the other hand, uses RGB cameras and artificial intelligence to detect weeds by morphology and context. This enables not only fallow spraying but also in-crop applications – the evolution from “green on brown” to weed in crops. Today it works on soybean and corn; in beta: cotton, peanut and sugarcane; under development: wheat, sunflower, beans and more.

SprAI is currently designed to integrate into terrestrial sprayers, delivering large-scale savings. However, DeepAgro is developing a drone MVP for prescription maps: drones fly over the field, generate weed maps with AI, and those maps then guide selective spraying with SprAI on the sprayer. In this way, drones and SprAI complement each other: drones detect, sprayers apply at full scale.

Lens and camera cleaning, nozzle checks, and software updates. Remote support and after-sales service are included.

Contact Us

Deepagro Holding LLC

Delawere, USA

We are a committed group of developers, engineers and designers that are imagining and building a smarter future for agriculture. Get in touch and start taking care of the world before it's too late!


Saint Louis, USA
Rosario, ARGENTINA
Montevideo, URUGUAY
Sao Pablo, BRASIL