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Plant image recognition with deep learning: A review
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 …
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
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 …
life-cycle conditions. Often, these evaluations are carried out by human operators, and the …
Review of research advances in fruit and vegetable harvesting robots
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 …
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
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 …
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 …
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 …
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 …
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
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 …
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 …
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 …
particles and cannot be applied to fire alarms in both large indoor and outdoor open spaces …