Fresh Fruit Bunch Ripeness Classification Methods: A Review
Jin Yu Goh,
Yusri Md Yunos,
Mohamed Sultan Mohamed Ali
Abstract:The escalating demand for palm oil necessitates enhanced production strategies. As the trend shifts towards automated harvesting to meet the demand, precise ripeness classification has become pivotal. Manual methods are inefficient and error-prone because of workforce constraints. The present review scrutinizes the following non-destructive ripeness classification methods: spectroscopy, inductive sensing, thermal imaging, light detection and ranging, laser-light backscattering imaging, and computer vision. The… Show more
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