Fruit harvesting is facing challenges due to the labour shortage, which has been more
severe since the rapid pandemic. Robotic harvesting has been attempted in autonomous …

The escalating demand for palm oil necessitates enhanced production strategies. As the
trend shifts towards automated harvesting to meet the demand, precise ripeness …

Plant physiological status is the interaction between the plant genome and the prevailing
growth conditions. Accurate characterization of plant physiology is, therefore, fundamental to …

Recognition and 3D positional estimation of apples during harvesting from a robotic platform
in a moving vehicle are still challenging. Fruit clusters, branches, foliage, low resolution, and …

The shortage of agricultural labourers worldwide has left many groups unharvested and
wasted, which motivates researchers worldwide to research fruit harvesting robots …

Semantic segmentation is a fundamental vision task for agricultural robots to understand the
surrounding environments in natural orchards. The recent development of the LiDAR …

Widespread occlusion in complex natural environments severely restricts the accurate
segmentation and localization of approximately spherical fruits by existing automatic picking …

Robust and effective fruit detection and localization is essential for robotic harvesting
systems. While extensive research efforts have been devoted to improving fruit detection …

Agricultural robots must navigate challenging dynamic and semi-structured environments.
Recently, environmental modelling using LiDAR-based SLAM has shown promise in …

The apple is a delicious fruit with high nutritional value that is widely grown around the
world. Apples are traditionally picked by hand, which is very inefficient. The development of …