Extraction of crop canopy features and decision-making for variable spraying based on unmanned aerial vehicle LiDAR data

S Luo, S Wen, L Zhang, Y Lan, X Chen - Computers and Electronics in …, 2024 - Elsevier
Implementation of precision agriculture aerial applications using unmanned aerial vehicles
(UAVs) represents a pivotal technological aspect in precision agriculture. However, current …

Comprehensive metabolomics-based analysis of sugar composition and content in berries of 18 grape varieties

H Zhong, V Yadav, Z Wen, X Zhou, M Wang… - Frontiers in Plant …, 2023 - frontiersin.org
Xinjiang is the largest grape-producing region in China and the main grape cultivation area
in the world. The Eurasian grape resources grown in Xinjiang are very rich in diversity. The …

Phenotyping of silique morphology in oilseed rape using skeletonization with hierarchical segmentation

Z Ma, R Du, J Xie, D Sun, H Fang, L Jiang… - Plant Phenomics, 2023 - spj.science.org
Silique morphology is an important trait that determines the yield output of oilseed rape
(Brassica napus L.). Segmenting siliques and quantifying traits are challenging because of …

Three-Dimensional Structure Measurement for Potted Plant Based on Millimeter-Wave Radar

Z Zhang, C Huang, X Xu, L Ma, Z Yang, J Duan - Agriculture, 2023 - mdpi.com
Potted plant canopy extraction requires a fast, accurate, stable, and affordable detection
system for precise pesticide application. In this study, we propose a new method for …

[HTML][HTML] Machine Learning-Based Prediction of Tribological Properties of Epoxy Composite Coating

H Yan, J Tan, H Chen, T He, D Zeng, L Zhang - Polymers, 2025 - mdpi.com
Machine learning, being convenient and nondestructive, is beneficial for evaluating the
tribological properties of coatings. Here, six machine learning algorithms, using a …