Robot dogs are expanding beyond security applications to revolutionise agricultural monitoring and crop management. Farmers worldwide are now deploying these quadrupedal machines equipped with AI vision systems to collect crop data, detect diseases, identify pests and monitor field conditions—addressing a critical gap left by satellite imagery, drones and labour-intensive manual inspections, which are often impractical for greenhouses or risk damaging crops.

Swiss agriculture technology firm Syngenta, in partnership with the University of Nottingham, has developed an advanced robodog fitted with high-resolution cameras and LIDAR scanners that create 3D field models and capture detailed crop imagery. The robot's AI-powered computer vision models run locally on an onboard GPU to analyse the data in real time, identifying weeds, potential diseases and pest threats. These machines excel where other technologies fail—they navigate wet, muddy terrain without harming crops and function effectively in enclosed greenhouse environments, offering farmers substantial labour savings by automating what has traditionally been time-consuming and resource-intensive inspection work.