Agricultural robots are evolving from simple object recognition to operational judgment, assessing harvest probability based on fruit position and occlusion to increase success rates. This shift matters for commercial farming by reducing damage, increasing throughput, and improving resource allocation, mirroring human picker intuition. Developers in this space are creating machines that exhibit adaptive behavior, moving towards human-robot collaboration rather than outright replacement.
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