Orchard Variable-Rate Sprayer Using LiDAR-Based Canopy Volume Measurement

This study developed and evaluated a LiDAR-based variable-rate orchard sprayer to address the inefficiency of traditional constant-rate application. The system dynamically adjusts pesticide output in real-time using a canopy volume calculation model and an adaptive delayed-spray mechanism, synchronized with LiDAR scans and travel speed. Experimental results demonstrated effective performance: the canopy volume estimation achieved a low overall error of 2.84%, enabling precise spray decision-making. The dosage control system showed an average error of 8.78%, and the adaptive system responded within 160 ms, distinguishing target gaps as small as 75 mm. Deposition tests confirmed uniform coverage within the canopy and minimal drift. The system proves to be a practical solution for significantly reducing pesticide use, operational costs, and environmental impact, marking a substantial advancement in precision orchard management.

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Publication Details

Journal
Agronomy
Published
2025-11-25
DOI
https://doi.org/10.3390/agronomy15122709
Citations
1
Primary Topic
Plant Surface Properties and Treatments
Type
article
Field-Weighted Citation Impact
1.75
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article

Orchard Variable-Rate Sprayer Using LiDAR-Based Canopy Volume Measurement

Chao Zhang, Qiujie Li, Pengcheng Yuan, Hongping Zhou
1 citations
Agronomy
Plant Surface Properties and Treatments
1.75
article

Orchard Variable-Rate Sprayer Using LiDAR-Based Canopy Volume Measurement

Chao Zhang, Qiujie Li, Pengcheng Yuan, Hongping Zhou
article en
1 citations

Abstract

This study developed and evaluated a LiDAR-based variable-rate orchard sprayer to address the inefficiency of traditional constant-rate application. The system dynamically adjusts pesticide output in real-time using a canopy volume calculation model and an adaptive delayed-spray mechanism, synchronized with LiDAR scans and travel speed. Experimental results demonstrated effective performance: the canopy volume estimation achieved a low overall error of 2.84%, enabling precise spray decision-making. The dosage control system showed an average error of 8.78%, and the adaptive system responded within 160 ms, distinguishing target gaps as small as 75 mm. Deposition tests confirmed uniform coverage within the canopy and minimal drift. The system proves to be a practical solution for significantly reducing pesticide use, operational costs, and environmental impact, marking a substantial advancement in precision orchard management.

AgronomyVol. 15(12)
Nanjing Forestry University (CN), Anhui University of Science and Technology (CN), Anhui Science and Technology University (CN)
Openalex Percentile: Top 11%
Plant Surface Properties and Treatments
1.75
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