Mobile Robots in Agriculture segmentation by application isolates functional clusters that directly map to farm value chains: soil preparation, seeding, crop monitoring, weed control, spraying, harvesting, and post‑harvest handling. Soil preparation robots perform tillage, compaction reduction, and residue management, contributing a modest share of revenue because they compete with established tractor‑based equipment; however, their precision reduces input waste, incrementally expanding market size. Seeding robots automate row spacing and depth control, offering measurable yield gains that justify higher adoption rates in row‑crop regions. Crop‑monitoring platforms equipped with multispectral imaging generate real‑time agronomic data; their analytics services create recurring subscription revenue, making this segment a fast‑growing driver of overall market expansion. Weed‑control and spraying robots replace manual herbicide application, delivering labor savings and pesticide‑use efficiency; together they account for the largest percentage of the Mobile Robots in Agriculture segmentation due to regulatory pressure on chemical usage. Harvesting robots, still early‑stage, add high‑value niche revenue, while post‑harvest handling robots address logistics bottlenecks, rounding out the application‑driven market taxonomy.