.png){kind=icon}
Return
An algorithm for automatic dormant tree pruning
.png){kind=icon}
OA
AI
DOI：10.1016/j.asoc.2020.106931.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Tree pruning is a labor and cost-intensive task. Still, it is a necessary activity that ensures a high yield of good quality products in horticulture and increases the overall health of trees in general. Extensive research has been done attempting to automate this labor-intensive procedure, lower the cost, and demand a skilled workforce. We introduce a new algorithm based on discrete differential evolution that simulates the pruning of virtual trees. Although pruning driven by differential evolution alone optimizes the overall tree light intake, it cannot maintain the distance between individual trees, nor can it shape trees into any of the growing forms. In the article, we show that adding additional steps into the pruning process, which is an initial trimming of the tree into a desired shape, can be improved significantly. We demonstrate our method by simulating the pruning of virtual trees and show that it provides results comparable to the results obtained by a human expert. By simulating the tree pruning over a few consecutive years, We show that our method is also capable of autonomous tree training toward the desired growing form. (C) 2020 The Author(s). Published by Elsevier B.V.
Keywords:
Virtual tree
Tree pruning
Pruning automation
Discrete differential evolution
Tree height control
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
6.6
Papers:
1.4W
Citations:
4.8W
Organization
Cited Papers
Novel discrete differential evolution methods for virtual tree pruning optimization.png)
SOFT COMPUTING
SOFT COMPUTINGIF2.5
PREAI
ShareSaveSignificance of intracranial pressure and cerebral perfusion pressure in severe pediatric traumatic brain injuryMedicinaOAAI
MedicinaIF0
OAAIShareSaveShareSaveA novel hybrid discrete differential evolution algorithm for blocking flow shop scheduling problems
PREAI
ShareSaveDevelopment of multivariate adaptive regression spline integrated with differential evolution model for streamflow simulationJOURNAL OF HYDROLOGY
JOURNAL OF HYDROLOGYIF6.3
PREAI
ShareSaveShareSaveShareSaveShareSaveShareSave
View more