Citrus fruits are extensively cultivated fruits with high nutritional value. The identification of
distinct ripeness stages in citrus fruits plays a crucial role in guiding the planning of …

It is important to monitor the maturity of citrus fruits during the growth period by using deep
learning to implement visual detection technology to identify their state of ripeness in their …

Fruit ripeness detection plays a crucial role in precise agriculture, enabling optimal
harvesting and post-harvest handling. Various methods have been investigated in the …

At present, learning-based citrus blossom recognition models based on deep learning are
highly complicated and have a large number of parameters. In order to estimate citrus flower …

In order to address the challenges of inefficiency and insufficient accuracy in the manual
identification of young citrus fruits during thinning processes, this study proposes a detection …

Citrus fruits do not ripen at the same time in natural environments and exhibit different
maturity stages on trees, hence it is necessary to realize selective harvesting of citrus picking …

Fruit detection plays a vital role in harvesting robot platforms. However, complicated
environment attributes such as illumination variation, occlusion, have made fruit detection a …

Blueberry is among the fruits with high economic gains for orchard farmers. Identification of
blueberry fruits with different maturities has economic significance to help orchard farmers …

As strawberries are a widely grown cash crop, the development of strawberry fruit-picking
robots for an intelligent harvesting system should match the rapid development of strawberry …

Real-time detection of green citrus fruit is crucial for accurate fruit localization and early yield
prediction in the citrus growing process. This detection involves three imaging steps …