ArticleFrontiers in plant science2022
Wind loss model for the thick canopies of orchard trees based on accurate variable spraying.
Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 13 citations in OpenAlex.
- Effects of ambient wind on droplet deposition uniformity in orchard air-assisted sprayers.Scientific reports · 2026Article
- A Precise Apple Quality Prediction Model Integrating Driving Factor Screening and BP Neural Network.Plants (Basel, Switzerland) · 2025Article
- Deposition Characteristics of Air-Assisted Sprayer Based on Canopy Volume and Leaf Area of Orchard Trees.Plants (Basel, Switzerland) · 2025Article
- Orchard variable-rate spraying method integrating GNSS and wind-excited audio-conducted leaf area density.Frontiers in plant science · 2025Article
- Wetting and deposition characteristics of air-assisted spray droplet on large broad-leaved crop canopy.Frontiers in plant science · 2023Article
- Design and test of powerful air-assisted sprayer for high stalk crops.Frontiers in plant science · 2023Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Variable application by wind is an efficient application technology recommended by the Food and Agriculture Organization (FAO) of the United Nations that can effectively improve the deposition effect of liquid medicine in a canopy and reduce droplet drift. In view of the difficulty of modelling wind forces in orchard tree canopies and the lack of a wind control model, the wind loss model for a canopy was studied. First, a three-dimensional wind measurement test platform was built for an orchard tree canopy. The orchard tree was located in three-dimensional space, and the inner leaf areas of the orchard tree canopy and the wind force in different areas were measured. Second, light detection and ranging (LiDAR) point cloud data of the orchard tree canopy were obtained by LiDAR scanning. Finally, classic regression, partial least squares regression (PLSR), and back propagation (BP) neural network algorithms were used to build wind loss models in the canopy. The research showed that the BP neural network algorithm can significantly improve the fitting accuracy of the model. Under different fan speeds of 1,381 r/min, 1,502 r/min, and 1,676 r/min, the coefficient of determination (R
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.