Measurement of plant characteristics is still the primary bottleneck in both plant breeding
and crop management. Rapid and accurate acquisition of information about large plant …

In this paper we introduce a new, high-quality, dataset of images containing fruits. We also
present the results of some numerical experiment for training a neural network to detect …

This paper provides an overview of the current state‐of‐the‐art in selective harvesting robots
(SHRs) and their potential for addressing the challenges of global food production. SHRs …

Highlights•This paper has reported the design and performance of a novel robotic kiwifruit
harvesting system.•Detection rate of 89.6% of reachable kiwifruit with a deep network based …

This paper proposes a novel technique for fruit detection in natural environments which is
applicable in automatic harvesting robots, yield estimation systems and quality monitoring …

The growing popularity of kiwifruit orchards in New Zealand is increasing the already high
demand for seasonal labourers. A novel robotic kiwifruit harvester has been designed and …

Fruit image segmentation is an essential step to distinguish fruits from the background. In
order to improve the fruits recognition accuracy for harvesting robots in three-dimensional …

There is an increasing concern that the traditional approach of natural kiwifruit pollination by
bees may not be sustainable. The alternatives are currently too costly for most growers due …

This study performed an extensive evaluation of the performances of all configurations of
YOLOv8, YOLOv9, and YOLOv10 object detection algorithms for fruitlet (of green fruit) …

We propose data-driven approaches to water content estimation and ripeness classification
of the strawberry fruit. A narrowband hyperspectral spectroradiometer was used to collect …