AgroZone

Predictive analytics and machine learning to take agribusiness to the next level.

Social Enterprise.

Big Data, Big Yields

Empower the farmers through technology

We offer accurate crop diagnosis in real time. We connect farmers and agricultural inputs providers in a one stop shop marketplace. We are closing the gap in the agriculture supply chain, improving farmers’ bottom line, increasing their productivity while reducing their operating cost.

Make Your Farm Smart

Customized sustainable agricultural practice advice

AgroZone calculates the exact type, quantity and mix of agro inputs and crop disease control measures for a maximum of yield potential. AgroZone gives farmers direct access to buyers, inputs companies and lenders. It also provides, in real time, an accurate weather forecast, commodity prices and best practices information.

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  • Make Your Farm Safe

    AgroZone, through a Predictive Algorithm using image recognition, provides a compelling level of accuracy in diagnosis and suggestion of appropriate crop treatment. AgroZone evaluates also the weather, soil, geo-localization and it identifies crop health issues. As a result it suggests, in real time, sustainable agricultural practices, a mix of agro-inputs and crop disease control measures, helping to boost the maximum potential yields.

Team

  • Fernando

    Fernando Derossi

    Board Director


    MIT Sloan Fellow MBA ’16. 10 Years Leading Businesses & Teams. Sr. Manager, Syngenta Agro, BASF Agro and GE-Capital. MSc in Strategic Management

  • Josh

    Josh Joseph,Ph.D.

    Technology Director


    MIT Ph.D.’14 Aero/Astro. 9 Years Creating Machine Learning, Artificial intelligence Models and Software. BS Applied Mathematics.

  • MaxZ

    Max Zuloaga

    Systems Director


    MIT MSc System Design ‘16. Quality Mgr & Commodity Trader at Agro-company. MSc Finance – BS Industrial Engineering

  • Dora

    Dora Salvan

    Marketing & Communication

    Dora has over 10 years of experience in Corporate Communication, PR & Events and a great understanding of Agribusiness industries.

  • Gbemi

    Gbemi Munis

    Operations & Software


    MIT Sloan Fellow MBA ‘16. Systems Engineer at Cisco. BS + MSc in Computer Engineering.

  • John

    John Gallagher

    Product Developer


    MIT Sloan Fellow MBA ‘16. 15 years Leading R&D Programs U.S. Navy & US Dept. of Defense. BS Engineering at Carnegie Mellon.

  • Ortega

    David Ortega

    Software Developer


    David has over 10 years of experience as a Software Product Manager for large firms. In 2014, David started focusing on Mobile App Development.

  • Gabriel

    Gabriel Ginorio

    Data Scientist


    MIT BS’18 Mechanical Engineering. Experience with hardware design and development, biological research and MATLAB programming.

Advisory Board

  • Roberto

    Roberto Rigobon


    MIT Professor, International Economics & Big Data Founder Billion Prices Project Co-Founder Price Stats


  • David

    David Hughes


    Board member of “Granular” US Farm Software Company President, Argentrigo (Wheat Supply Chain Association)


  • Pancho

    Francisco Resnicoff


    General Director - International Relations. Government of Buenos Aires, ARG. Agriculture Public Policy Experience. Agribusiness Family Partner and investor.


  • Krasnow

    K. Krasnow Waterman

    Former COO for FBI Former CIO, US Department of Justice. Expert in Cybersecurity, IT & Intelligence in Big Data


  • Ignacio

    Ignacio Negri


    COO Mississippi Delta Farm Group. Partner at Chess Agricultural Investments. Former Technical Head BASF.


  • Eduardo

    Eduardo Casarini


    Extensive experience in the online business. Co-Founder, CEO and Board Member of Flores Online. Angel Investor.

Contact Us

Are you passionate about agriculture, big data and new technologies? Are you a software engineer, a chemist, agronomist or you have skills that you strongly believe will add value to AgroZone team? Drop as an email with you CV and more details about you and we’ll get in touch with you shortly.

Mail Us