The accuracy, speed, and robustness of object detection and recognition are directly related
to the harvesting efficiency, quality, and speed of fruit and vegetable harvesting robots. In …

Strawberry detection and ripeness classification are important concerns in robotic
harvesting, as precondition for efficient and nondestructive picking. However, the different …

Currently the classification processes of the degree of maturity of fruits require the use of
complex systems, which, most of the times, are not within the reach of small farmers or …

This study aims to classify the maturity level of oil palm using the K-Nearest Neighbors
(KNN) method based on the extraction of RGB and L* a* b color features. This classification …

Research on oil palm detection has been carried out for years, but there are only a few
research that have conducted research using video datasets and only focus on development …

The capacity of palm oil production is directly affected by the ripeness of the fresh fruit
bunches (FFB) upon harvesting. Conventional harvesting standards rely on rigid harvesting …

The degree of maturity of oil palm fresh fruit bunches (FFB) at the time of harvest heavily
affects oil production, which is expressed in the oil extraction rate (OER). Oil palm harvests …

Traditional systems are being phased out in favour of modern technological systems. Many
ripeness detection instruments for vegetables and fruits exist, but they are inefficient and …

Papaya fruit is one of the kings of fruit in Indonesia. It is said to be the king of fruit because it
is rich in benefits and has good nutritional and vitamin content. Grouping the maturity of …