AI.Land Uses Skylark to Enable its Autonomous Agricultural Robot to Effectively Navigate Farmland

Swift-DT-CaseStudies-ai.land_

“Precise localization is needed for our autonomous field robot, to ensure open field navigation that allows the robot to accomplish precision farming tasks.”

Josef Franko, Co-founder AI.Land

Today’s farmers face many challenges, such as the steadily growing global population, a shortage of skilled farm workers in many countries and increased regulations. There is growing demand for more sustainable and safer provisioning of pesticides and fertilizers, as well as increasing electrification and automation of agricultural machinery to increase operational efficiency.

AI.Land’s autonomous field robot, ETAROB, aims to decrease monotonous and physically demanding fieldwork with automation and integrated digitization. It automates farm work that is repetitive, labor-intensive, physically exhausting, and costly. The compatibility of the robot’s sensor module with various attachment tools enables it to be adapted to any work process, such as weed control, fertilization, or harvesting. Precise GNSS positioning allows AI.Land to determine their field robot’s absolute position with increased accuracy. This information is crucial to enable a secure geofence around the field so the robot can operate safely and efficiently.