Academic Journal
Multi-objective optimization of low-cost high-pressure glasshouse atomization: High-speed imaging mechanism for targeted droplet uniformity, environmental sustainability, and whitefly control.
| Τίτλος: | Multi-objective optimization of low-cost high-pressure glasshouse atomization: High-speed imaging mechanism for targeted droplet uniformity, environmental sustainability, and whitefly control. |
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| Συγγραφείς: | Yu Z; College of Science, China Agricultural University, Beijing, China.; State Key Laboratory of Agricultural and Forestry Biosecurity, MARA Key Lab of Surveillance and Management for Plant Quarantine Pests, College of Plant Protection, China Agricultural University, Beijing, China., Guo J; College of Science, China Agricultural University, Beijing, China., Wang H; Beijing Plant Protection Station, Beijing, China., Quan C; College of Science, China Agricultural University, Beijing, China., Deng H; College of Science, China Agricultural University, Beijing, China., Asikaibaike K; College of Science, China Agricultural University, Beijing, China., Wongsuk S; College of Science, China Agricultural University, Beijing, China., He X; College of Science, China Agricultural University, Beijing, China.; State Key Laboratory of Agricultural and Forestry Biosecurity, MARA Key Lab of Surveillance and Management for Plant Quarantine Pests, College of Plant Protection, China Agricultural University, Beijing, China., Sun H; Beijing Plant Protection Station, Beijing, China. |
| Πηγή: | Pest management science [Pest Manag Sci] 2026 Aug; Vol. 82 (8), pp. 7419-7433. Date of Electronic Publication: 2026 May 07. |
| Τύπος έκδοσης: | Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: Published for SCI by Wiley Country of Publication: England NLM ID: 100898744 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1526-4998 (Electronic) Linking ISSN: 1526498X NLM ISO Abbreviation: Pest Manag Sci Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: West Sussex, UK : Published for SCI by Wiley, c2000- |
| Ιατρικοί όροι (MeSH): | Insect Control*/methods , Insect Control*/instrumentation , Insect Control*/economics , Hemiptera* , Insecticides*, Animals ; Solanum lycopersicum ; Pressure |
| Περίληψη: | Chemical pesticides remain the primary strategy for controlling greenhouse whiteflies (Bemisia tabaci), yet traditional application systems are plagued by uneven droplet distribution, severe pesticide drift, and inadequate control efficacy - all of which contradict cleaner production objectives. To address these challenges, this study proposed a multi-objective optimization framework for low-cost high-pressure glasshouse atomization, integrating a high-speed imaging mechanism to achieve targeted droplet uniformity, environmental sustainability, and efficient whitefly control. A self-developed low-cost high-precision atomization system was constructed, featuring polypropylene Venturi-swirl integrated atomizing nozzle (PP-VSIN). High-speed imaging was employed to capture the transient behaviors (spreading, trajectory, and deposition) of water and pesticide droplets on tomato crops, enabling quantitative analysis of droplet size distribution (DSD), coefficient of variation (CV), and target leaf contact characteristics under varying conditions: spray pressure (2, 5, and 8 MPa), nozzle-tomato horizontal distance (0.5, 0.75, and 1 m), and spray angle (90°, 120°, and 180°). Results demonstrated that the mixed pesticide solution reduced the contact angles on tomato leaves, water-sensitive paper, and polyvinyl chloride (PVC) cards, effectively enhancing the spreading and adhesion capabilities of droplets on tomato surfaces. Droplet size spectrum analysis revealed that the average droplet size decreased with increasing spray pressure, and particularly when pressure increased from 5 to 8 MPa, droplet deposition and penetration were significantly improved. Tomato canopy deposition followed the order of upper > middle > lower (6.300, 6.226, and 6.062 μL cm-2), with minimal overall differences, while droplet coverage was the lowest on the upper and lower leaves of the canopy (21.02% and 21.15%, respectively). Multi-objective optimization confirmed the optimal parameters: 0.75 m single-side nozzle spacing, 180° spray angle, 8 MPa spray pressure, and 225 L hm-1 application rate. This parameter combination exhibited excellent atomization performance and whitefly control efficacy, with the control efficacy of six treatments stabilizing at 79.68-89.01% on the seventh day and remaining above 79% thereafter. Compared with traditional application systems, pesticide usage was reduced by 33.33%. This system achieves a balance among performance, cost, and environmental sustainability, improves targeted pest control, and promotes environmental sustainability. It bridges the gap between mechanistic understanding and practical application, providing a scalable and sustainable clean production solution for pest management in small-to-medium glasshouses. © 2026 Society of Chemical Industry. (© 2026 Society of Chemical Industry.) |
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| Grant Information: | China Agricultural University; National Key Research and Development Program of China; China Association for Science and Technology; National Natural Science Foundation of China; Agriculture Research System of China |
| Contributed Indexing: | Keywords: cleaner agriculture; environmental sustainability; glasshouse pest management; high‐speed imaging; low‐cost high‐pressure atomization; multi‐objective optimization; targeted droplet uniformity |
| Substance Nomenclature: | 0 (Insecticides) |
| Entry Date(s): | Date Created: 20260508 Date Completed: 20260710 Latest Revision: 20260726 |
| Update Code: | 20260726 |
| PubMed Central ID: | PMC13352316 |
| DOI: | 10.1002/ps.70809 |
| PMID: | 42098977 |
| Βάση Δεδομένων: | MEDLINE |
| ISSN: | 1526-4998 |
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| DOI: | 10.1002/ps.70809 |