Plant image recognition with deep learning: A review

Y Chen, Y Huang, Z Zhang, Z Wang, B Liu, C Liu… - … and Electronics in …, 2023 - Elsevier
Significant advances in the field of digital image processing have been achieved in recent
years using deep learning, which has significantly exceeded previous methods. Deep …

[HTML][HTML] Detection of tomato plant phenoty** traits using YOLOv5-based single stage detectors

A Cardellicchio, F Solimani, G Dimauro… - … and Electronics in …, 2023 - Elsevier
Plant phenoty** is the study of complex plant traits to evaluate its status depending on the
life-cycle conditions. Often, these evaluations are carried out by human operators, and the …

Review of research advances in fruit and vegetable harvesting robots

X **ao, Y Wang, Y Jiang - Journal of Electrical Engineering & Technology, 2024 - Springer
The idea of applying machine technology for fruit and vegetable harvesting has been
around for 50 years. Various prototypes have been developed through the joint efforts of …

Real-time growth stage detection model for high degree of occultation using DenseNet-fused YOLOv4

AM Roy, J Bhaduri - Computers and Electronics in Agriculture, 2022 - Elsevier
Real-time detection of agricultural growth stages is one of the key steps of estimating yield
and intelligent spraying in commercial orchards. However, due to considerable degree of …

A novel apple fruit detection and counting methodology based on deep learning and trunk tracking in modern orchard

F Gao, W Fang, X Sun, Z Wu, G Zhao, G Li, R Li… - … and Electronics in …, 2022 - Elsevier
Accurate count of fruits is important for producers to make adequate decisions in production
management. Although some algorithms based on machine vision have been developed to …

Rachis detection and three-dimensional localization of cut off point for vision-based banana robot

F Wu, J Duan, P Ai, Z Chen, Z Yang, X Zou - Computers and Electronics in …, 2022 - Elsevier
For the operation and visual positioning of a banana robot, it is important to accurately
position the rachis and cut off point. However, the main factors that affect the three …

Intelligent detection of Multi-Class pitaya fruits in target picking row based on WGB-YOLO network

Y Nan, H Zhang, Y Zeng, J Zheng, Y Ge - Computers and electronics in …, 2023 - Elsevier
In a densely planted orchard, factors such as light variation, branch occlusion, and fruit in
non-picking rows had a great impact on the pitaya detection accuracy. In this study, a new …

Canopy-attention-YOLOv4-based immature/mature apple fruit detection on dense-foliage tree architectures for early crop load estimation

S Lu, W Chen, X Zhang, M Karkee - Computers and Electronics in …, 2022 - Elsevier
Accurate detection of both immature and mature apples in orchard environments is essential
for early crop load management. A near real-time method is proposed in this study for …

Coverage path planning for kiwifruit picking robots based on deep reinforcement learning

Y Wang, Z He, D Cao, L Ma, K Li, L Jia, Y Cui - Computers and Electronics …, 2023 - Elsevier
In this paper, a deep reinforcement learning-based path planning method for kiwifruit picking
robot coverage is proposed. Compared with existing approaches, the novelty of this paper is …

An improved YOLOv5s fire detection model

Z Dou, H Zhou, Z Liu, Y Hu, P Wang, J Zhang, Q Wang… - Fire Technology, 2024 - Springer
It is well-established that contact fire sensors are susceptible to interference from non-fire
particles and cannot be applied to fire alarms in both large indoor and outdoor open spaces …