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This study focuses on developing an automated image classification method to identify mature coconuts, a critical phase in coconut harvesting. By emulating the technique of expert coconut pickers who assess color and texture, our goal is to revolutionize the industry, enhancing efficiency, reducing labor costs, and mitigating environmental impact. The preliminary model developed using Teachable Machine an established image classification software tool showed highly promising results in the identification of mature coconuts.
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Adikaram et al. (2024) studied this question.
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