This analysis explores potential growth opportunities for robots in the agriculture industry. Driven by advancements in AI/machine learning (ML), machine vision, and autonomous navigation, agricultural robots are executing tasks such as planting, weeding, harvesting, spraying, and crop monitoring with greater precision and efficiency.

Designed for workforce augmentation and enhanced productivity, robots are used across the agricultural value chain. The workforce shortage has accelerated interest in the adoption of robotic automation, but high upfront costs continue to pose a key barrier to adoption, especially for small and medium-sized farms.

• How can you grow by harnessing AI/ML-driven agricultural robots?
• Which factors are accelerating the adoption of robotic automation in agriculture?
• How can vendors grow by offering flexible business models that address high upfront costs and increase accessibility for small and medium-sized farms?