Assisting the Planning of Harvesting Plans for Large Strawberry Fields through Image-Processing Method Based on Deep Learning

C Wang, Q Han, C Li, J Li, D Kong, F Wang, X Zou - Agriculture, 2024 - mdpi.com
Reasonably formulating the strawberry harvesting sequence can improve the quality of
harvested strawberries and reduce strawberry decay. Growth information based on drone …

RDTN: Residual Densely Transformer Network for hyperspectral image classification

Y Li, X Yang, D Tang, Z Zhou - Expert Systems with Applications, 2024 - Elsevier
Transformer-based methods have achieved significant success in hyperspectral image (HSI)
classification, which attribute to the strong capability of capturing the global dependencies …

ODN-Pro: An Improved Model Based on YOLOv8 for Enhanced Instance Detection in Orchard Point Clouds

Y Pan, X Xiao, K Hu, H Kang, Y Jin, Y Chen, X Zou - Agronomy, 2024 - mdpi.com
In an unmanned orchard, various tasks such as seeding, irrigation, health monitoring, and
harvesting of crops are carried out by unmanned vehicles. These vehicles need to be able to …

A stereovision-based efficient measurement approach for surface flatness of concrete members

H Chen, G Liu, Z Wang - Structures, 2024 - Elsevier
The surface flatness of concrete members is an important quality characteristic of buildings
and civil infrastructure. Existing measurement methods such as the straightedge method, F …

YOLO-BLBE: A Novel Model for Identifying Blueberry Fruits with Different Maturities Using the I-MSRCR Method

C Wang, Q Han, J Li, C Li, X Zou - Agronomy, 2024 - mdpi.com
Blueberry is among the fruits with high economic gains for orchard farmers. Identification of
blueberry fruits with different maturities has economic significance to help orchard farmers …

YOLOv8n-DDA-SAM: Accurate Cutting-Point Estimation for Robotic Cherry-Tomato Harvesting

G Zhang, H Cao, Y Jin, Y Zhong, A Zhao, X Zou… - Agriculture, 2024 - mdpi.com
Accurately identifying cherry-tomato picking points and obtaining their coordinate locations
is critical to the success of cherry-tomato picking robots. However, previous methods for …

LFMNet: a lightweight model for identifying leaf diseases of maize with high similarity

J Hu, X Jiang, J Gao, X Yu - Frontiers in Plant Science, 2024 - frontiersin.org
Maize leaf diseases significantly impact yield and quality. However, recognizing these
diseases from images taken in natural environments is challenging due to complex …

A fluorescence detection method for postharvest tomato epidermal defects based on improved YOLOv5m

Y Huang, J Xiong, Z Yao, Q Huang… - Journal of the …, 2024 - Wiley Online Library
BACKGROUND Tomato quality visual grading is greatly affected by the problems of smooth
skin, uneven illumination and invisible defects that are difficult to identify. The realization of …

Strawberry Detection and Ripeness Classification Using YOLOv8+ Model and Image Processing Method

C Wang, H Wang, Q Han, Z Zhang, D Kong, X Zou - Agriculture, 2024 - mdpi.com
As strawberries are a widely grown cash crop, the development of strawberry fruit-picking
robots for an intelligent harvesting system should match the rapid development of strawberry …

A Novel Method for the Object Detection and Weight Prediction of Chinese Softshell Turtles Based on Computer Vision and Deep Learning

Y Jin, X Xiao, Y Pan, X Zhou, K Hu, H Wang, X Zou - Animals, 2024 - mdpi.com
Simple Summary In the sorting process of Chinese softshell turtles, it is necessary to classify
them based on their weight and accurately identify their plastron and carapace. This process …