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Yield Mapping In Apple Orchards

The translation of the provided Chinese text into English is as follows: Apple orchard yield mapping refers to the use of computer vision technology to collect and analyze images of apple trees in the orchard, accurately estimating the apple yield of each plot. This technology identifies the number, size, and distribution of fruits through high-resolution imagery, generating detailed yield maps that provide scientific basis for orchard management. Its objective is to optimize resource allocation, enhance production efficiency and fruit quality, and achieve precision agriculture. The application value lies in helping farmers develop reasonable harvesting plans, pest and disease control strategies, and fertilization schemes, thereby improving the overall economic benefits and sustainable development capabilities of the orchard.

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Yield Mapping In Apple Orchards | SOTA | HyperAI