Terranom addresses the critical gap in the agriculture industry by leveraging artificial intelligence to enhance soil management and crop productivity. By developing a sensor-embedded drone integrated with a machine learning model boasting a remarkable 90% accuracy rate, Terranom empowers farmers to identify and address soil inefficiencies with precision.
The innovative solution has garnered enthusiastic approval from farmers in both Canada and Africa, including notable endorsements from individuals like Favour from Africa, who expressed a keen interest in sharing the idea within her extensive Facebook and LinkedIn network of over 5000+ farmers.
Moreover, Terranom has secured essential funding amounting to 1.5K and received mentorship from industry experts like Vania Smith, a Senior Data Analyst at RBCx, through the Believe Initiative.
Additionally, the project has achieved recognition for its entrepreneurial prowess, clinching the second-place position in the Queen’s Youth Entrepreneurship Competition at Queen’s Smith School of Business.
Technical: TERRANOM has been a great journey into investigating IOT devices and solving real world problems. It allowed me to research greatly in the field of farming, the backbone to any nation, and efficiently utilize my skills in machine learning to create a project highly needed by farmer. Along with me team, I was especially proud to identify the gap of artifial intelligence which is being introduced to every field except for agriculture and utilize it for the greater good.