Tea is rich in polyphenols, vitamins, and protein, which is good for health and tastes great.
As a result, tea is very popular and has become the second most popular beverage in the …

In recent years, the elderly population has increased, leading to a labor shortage and the
increasing cost of training experienced labor. Owing to the continuous optimization of …

Full-resolution depth estimation within operational space of robotic arms and accurate
localization of kiwifruits is very important for automated harvesting. Depth estimation is …

The demand for harvesting green citrus has increased due to the rapid growth of the green
citrus industry. However, real-time detection of green citrus is challenging because of its …

In complex citrus orchard environments, light changes, branch shading, and fruit
overlapping impact citrus detection accuracy. This paper proposes the citrus detection …

The automation of orchard production is increasingly relying on robotics, driven by the
advancements in artificial intelligence technology. However, accurately comprehending …

Abstract A Multi-scale Feature Adaptive Fusion model (MFAF-YOLO) for real-time detection
of citrus harvesting robots in complex field environments is proposed in this study. This …

Our research focuses on winter jujube trees and is conducted in a greenhouse environment
in a structured orchard to effectively control various growth conditions. The development of a …

In this letter, we present a new dataset to advance the state of the art in detecting citrus fruit
and accurately estimate yield on trees affected by the Huanglongbing (HLB) disease in …

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