Optimization strategies of fruit detection to overcome the challenge of unstructured background in field orchard environment: A review
Y Tang, J Qiu, Y Zhang, D Wu, Y Cao, K Zhao… - Precision Agriculture, 2023 - Springer
The demand for intelligent agriculture is increasing due to the continuous impact of world
food and environmental crises. Focusing on fruit detection, with the rapid development of …
food and environmental crises. Focusing on fruit detection, with the rapid development of …
[HTML][HTML] Deep learning in food category recognition
Integrating artificial intelligence with food category recognition has been a field of interest for
research for the past few decades. It is potentially one of the next steps in revolutionizing …
research for the past few decades. It is potentially one of the next steps in revolutionizing …
Application of convolutional neural network-based detection methods in fresh fruit production: a comprehensive review
C Wang, S Liu, Y Wang, J Xiong, Z Zhang… - Frontiers in plant …, 2022 - frontiersin.org
As one of the representative algorithms of deep learning, a convolutional neural network
(CNN) with the advantage of local perception and parameter sharing has been rapidly …
(CNN) with the advantage of local perception and parameter sharing has been rapidly …
Channel pruned YOLO V5s-based deep learning approach for rapid and accurate apple fruitlet detection before fruit thinning
D Wang, D He - Biosystems Engineering, 2021 - Elsevier
Highlights•A method for rapid and accurate apple fruitlet detection before fruit thinning is
proposed.•The method is based on a state-of-the-art deep learning approach.•The model …
proposed.•The method is based on a state-of-the-art deep learning approach.•The model …
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 …
Fruit ripeness identification using transformers
Pattern classification has always been essential in computer vision. Transformer paradigm
having attention mechanism with global receptive field in computer vision improves the …
having attention mechanism with global receptive field in computer vision improves the …
Soybean yield preharvest prediction based on bean pods and leaves image recognition using deep learning neural network combined with GRNN
W Lu, R Du, P Niu, G Xing, H Luo, Y Deng… - Frontiers in Plant …, 2022 - frontiersin.org
Soybean yield is a highly complex trait determined by multiple factors such as genotype,
environment, and their interactions. The earlier the prediction during the growing season the …
environment, and their interactions. The earlier the prediction during the growing season the …
In-field automatic identification of pomegranates using a farmer robot
Ground vehicles equipped with vision-based perception systems can provide a rich source
of information for precision agriculture tasks in orchards, including fruit detection and …
of information for precision agriculture tasks in orchards, including fruit detection and …
Two-stage domain adaptation for infrared ship target segmentation
T Zhang, H Shen, S ur Rehman, Z Liu… - … on Geoscience and …, 2023 - ieeexplore.ieee.org
Ship target segmentation in infrared scenes has always been a hot topic, since it is an
important basis and prerequisite for infrared-guided weapons to reliably capture and …
important basis and prerequisite for infrared-guided weapons to reliably capture and …
Infrared ship target segmentation based on adversarial domain adaptation
T Zhang, Z Gao, Z Liu, SF Hussain, M Waqas… - Knowledge-Based …, 2023 - Elsevier
Infrared ship target segmentation is one of the key technologies for automatically detecting
ship targets in ocean monitoring. However, it is a challenging work to achieve accurate …
ship targets in ocean monitoring. However, it is a challenging work to achieve accurate …