Page 31 - Identifying and scaling AI startups for SDGs
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Identifying and scaling AI startups for SDGs



                   •    Grekkon Limited: Grekkon Limited, founded in Nairobi, Kenya in 2013, is a proudly
                        African firm established by seasoned agricultural experts dedicated to addressing the
                        farming needs of African farmers. Since its inception, Grekkon has expanded its reach
                        and successfully undertaken projects in Kenya, Nigeria, Somalia, Tanzania, and Uganda.
                        The company specializes in innovative irrigation and greenhouse technologies, including
                        the construction of dryers, supply of soilless growing media, seedling trays, and mulching
                        papers. Grekkon also offers comprehensive services such as drip and sprinkler irrigation
                        systems, greenhouse and shade house construction, pump installations, dam lining, and
                        borehole drilling.

                   Judges:

                   •    Zahoro Muhaji; CEO, Tanzanian Startup Association
                   •    Vitaly Kleban; Co-founder and CTO, Everynet
                   •    Melissa Tickle; Investment Manager, FINCA Ventures

                   10.4  AWS special session: Next-generation innovations in agricultural
                          technology

                   Online, 11 July 2022


                   Moderator: Josh Choi, Program Lead at AI for Good, ITU
                   Startups:

                   •    xFARM: xFarm Technologies  is a  leading  tech  company  dedicated  to  the  digital
                        transformation of the agri-food sector, providing innovative tools that enhance the
                        management capabilities of farmers and stakeholders. Their offerings include farm
                        management apps, connected sensors, support for digital transformation projects,
                        agriculture-specific algorithms, and comprehensive training programs for the entire sector.
                        With a commitment to improving agricultural practices globally, xFarm Technologies
                        supports 80,000 farms across over 30 supply chains, covering 1 million hectares in more
                        than 100 countries.
                   •    Precision AI: At Precision AI, our mission is to revolutionize farming practices with cutting-
                        edge artificial intelligence, creating healthier, more profitable, and more sustainable
                        farms. The advanced drones and bespoke AI technology enable decision-making at
                        the individual plant level, transforming an industry traditionally reliant on broad-scale
                        solutions. This innovation integrates seamlessly with current agricultural technology and
                        helps design the next generation of machines that will feed the world.
                   •    AdaViv: AdaViv is rapidly advancing towards creating plant-level intelligence for the
                        lean, profitable, digital farms of the future. The Lean Cultivation™ Platform, designed
                        for greenhouse and indoor farming operations, utilizes our proprietary machine-vision
                        system, intuitive mobile apps, and powerful analytics to boost yields and reduce costs. By
                        automating tedious tasks, the platform provides growers with unparalleled visibility and
                        remote oversight of their plants and workforce.
                   •    Bloomfield Robotics: Crop cultivation demands accurate, precise, and consistent
                        inspection both in the field and elsewhere. While some crops require occasional
                        inspection, others, like cannabis and grapes, necessitate more frequent and detailed
                        examination. Traditionally, crop inspection is a manual process conducted by trained
                        experts. However, this method faces challenges such as the time and effort required, the
                        difficulty in finding qualified inspectors, and the need for consistent, precise, and accurate
                        data across multiple inspectors. Bloomfield leverages AI and deep learning to enhance
                        the work of crop inspectors by identifying and assessing the same plant characteristics
                        and anomalies that human visual inspection targets. This technology ensures more






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