electronics & precision agriculture Lab

INNOVATING THE DIGITAL AGRICULTURE TECHNOLOGY OF TOMORROW

ARTIFICIAL INTELLIGENCE and robotics

We are dedicated to developing AI models that can provide useful information to help African farmers achieve top-notch crop and animal production. Our goal is to equip farmers with valuable insights into the condition of their crops and animals, giving them the power to make well-informed decisions based on data. Our Machine Vision Models are specifically designed to assist farmers in comprehending the state of their crops and animals, allowing them to make data-driven decisions for the best possible farming results.  Additionally, we are committed to advancing agricultural robotics to further enhance efficiency and productivity in farming practices.

SENSORS AND PRECISION AGRICULTURE 

In our laboratory, our primary focus revolves around the development of Precision Agriculture tools aimed at optimizing land management for farmers. Our tools are specifically crafted to seamlessly integrate with robotic machinery, implements, and farmer workflows, thereby enhancing input utilization, bolstering crop and animal yields, and fostering overall crop and animal well-being. Central to our approach is the incorporation of variable rate technology and high throughput phenotyping methodologies, enabling us to tailor our tools precisely to the diverse needs of African farmers, catering to their unique circumstances and demands.

SOFTWARE AND mOBILe phone APPLICATIONS

Our lab specializes in developing mobile phone applications that cater to the specific needs of farmers. Our suite of tools is designed to help farmers fully utilize the advantages of mobile software, even in offline environments. We take care to ensure that our tools aid farmers in optimizing input and water usage, taking into account the individual requirements of each plant and animal. Our flagship Mwagilia App provides valuable guidance on improving irrigation and fertilizer usage efficiency, empowering farmers to make informed decisions and improve the effectiveness of their agricultural practices.