Solution: We are asked to count the number of distinct sequences in which the drone can visit 5 fields: 2 wheat (W), 2 corn (C), and 1 soybean (S), where fields of the same crop are indistinguishable. This is a permutation of a multiset.

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**How Dro 낱 Drone Optimizes Crop Monitoring with Unique Field Sequences** Ever wondered how modern farming technology tracks thousands of acres with precision? One lesser-known challenge is calculating the exact number of distinct drone navigation paths across uniformly planted crop zones—specifically, how a drone can visit 5 fields: 2 wheat (W), 2 corn (C), and 1 soybean (S), where identical crops are visually indistinguishable. As U.S. farmers increasingly adopt autonomous systems for efficiency and sustainability, solving this sequencing problem enables smarter planning—critical for maximizing data collection and resource use. This isn’t just a math exercise; it’s a core algorithm behind precision agriculture. Counting distinct field sequences reveals how drones efficiently traverse fields without redundant passes, directly influencing operational timing and cost. With widespread adoption of drone technology in the American Midwest and beyond, understanding this combinatorial principle unlocks deeper insight into how smart farming evolves. **Why Crop Sequencing Matters Now**