ArticleScientific reports2025
Design of anti-frost smoke machine system for mountain orchard based on multi-objective optimization.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Cold spell in late spring often occur during the flowering period of fruit trees, causing irreversible damage to flower buds and significant economic losses to apple orchards. To address this challenge, we propose an optimized frost protection system based on the Hippo Optimization Algorithm (HOA) and the k-minimum spanning tree (k-MST) model. A green solar frost protection scheme is first developed. Then, the number and location of smoke machines are optimized using HOA. The wiring layout is further optimized using the k-MST model based on mixed integer linear programming (MILP), where the number of deployment points derived by HOA is used as the input parameter k. Simulation results show that compared with traditional methods, this optimization approach can achieve a maximum reduction of 55.55% in the number of smoke machines, and an even more significant saving of up to 44.16% in wiring length. The optimization method provides a cost-effective strategy for agricultural frost protection.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.