Mathematical Programming Models for Determining the Optimal Location of Beehives
Issue Date
3-2014
Abstract
Farmers frequently decide where to locate the colonies of their domesticated eusocial bees, especially given the following mutually exclusive scenarios: (i) there are limited nectar and pollen sources within the vicinity of the apiary that cause competition among foragers; and (ii) there are fewer pollinators compared to the number of inflorescence that may lead to suboptimal pollination of crops. We hypothesize that optimally distributing the beehives in the apiary can help address the two scenarios stated above. In this paper, we develop quantitative models (specifically using linear programming) for addressing the two given scenarios. We formulate models involving the following factors: (i) fuzzy preference of the beekeeper; (ii) number of available colonies; (iii) unknown-but-bounded strength of colonies; (iv) probabilistic carrying capacity of the plant clusters; and (v) spatial orientation of the apiary. © 2014 Society for Mathematical Biology.
Source or Periodical Title
Bulletin of Mathematical Biology
ISSN
0092-8240
Volume
76
Issue
5
Page
997-1016
Document Type
Article
Physical Description
tables, diagrams, figures
Language
English
Subject
Apis mellifera, Beekeeping, Bumblebees, Crop pollination, Pollination management, Stingless bees
Recommended Citation
Gavina, M.K.A., Rabajante, J.F., Cervancia, C.R. (2014). Mathematical Programming Models for Determining the Optimal Location of Beehives. Bulletin of Mathematical Biology, 76 (5), 997-1016. doi:10.1007/s11538-014-9943-9.
Identifier
doi:10.1007/s11538-014-9943-9.
Digital Copy
yes