[HTML][HTML] Litchi detection in a complex natural environment using the YOLOv5-litchi model

J Xie, J Peng, J Wang, B Chen, T Jing, D Sun, P Gao… - Agronomy, 2022 - mdpi.com
Detecting litchis in a complex natural environment is important for yield estimation and
provides reliable support to litchi-picking robots. This paper proposes an improved litchi …

Litchi detection in the field using an improved YOLOv3 model

H Peng, C Xue, Y Shao, K Chen, H Liu, J Xiong… - International Journal of …, 2022 - ijabe.org
Due to the illumination, complex background, and occlusion of the litchi fruits, the accurate
detection of litchi in the field is extremely challenging. In order to solve the problem of the …

[HTML][HTML] Fast and precise detection of litchi fruits for yield estimation based on the improved YOLOv5 model

L Wang, Y Zhao, Z Xiong, S Wang, Y Li… - Frontiers in Plant …, 2022 - frontiersin.org
The fast and precise detection of dense litchi fruits and the determination of their maturity is
of great practical significance for yield estimation in litchi orchards and robot harvesting …

YOLOv3‐Litchi Detection Method of Densely Distributed Litchi in Large Vision Scenes

H Wang, L Dong, H Zhou, L Luo, G Lin… - Mathematical …, 2021 - Wiley Online Library
Accurate and reliable fruit detection in the orchard environment is an important step for yield
estimation and robotic harvesting. However, the existing detection methods often target …

A detection approach for late-autumn shoots of litchi based on unmanned aerial vehicle (UAV) remote sensing

J Liang, X Chen, C Liang, T Long, X Tang, Z Shi… - … and Electronics in …, 2023 - Elsevier
Litchi is one of the most common economic fruits in southern China, however, the growth of
late-autumn shoots of litchi hinders flower bud differentiation and reduces yield of fruit. The …

[HTML][HTML] Precision detection of dense plums in orchards using the improved YOLOv4 model

L Wang, Y Zhao, S Liu, Y Li, S Chen… - Frontiers in Plant Science, 2022 - frontiersin.org
The precision detection of dense small targets in orchards is critical for the visual perception
of agricultural picking robots. At present, the visual detection algorithms for plums still have a …

Partition harvesting of a column-comb litchi harvester based on 3D clustering

C Li, J Lin, B Li, S Zhang, J Li - Computers and Electronics in Agriculture, 2022 - Elsevier
Accurate recognition of litchi fruits in orchard environments and acquisition of their
coordinate position information are key for realizing successful harvesting using litchi …

[HTML][HTML] Study on the Detection Method for Daylily Based on YOLOv5 under Complex Field Environments

H Yan, S Cai, Q Li, F Tian, S Kan, M Wang - Plants, 2023 - mdpi.com
Intelligent detection is vital for achieving the intelligent picking operation of daylily, but
complex field environments pose challenges due to branch occlusion, overlapping plants …

CBAM+ ASFF-YOLOXs: An improved YOLOXs for guiding agronomic operation based on the identification of key growth stages of lettuce

P Zhang, D Li - Computers and Electronics in Agriculture, 2022 - Elsevier
To the optimal time to conduct farming operations in the traditional agricultural production
process mainly depends on human observation and planting experience, which is time …

Lightweight target detection for the field flat jujube based on improved YOLOv5

S Li, S Zhang, J Xue, H Sun - Computers and Electronics in Agriculture, 2022 - Elsevier
The efficient detection of the flat jujube in a complex natural environment has great
significance in intelligent agricultural operations. Aiming at the problems of the low detection …