TY - JOUR
T1 - Transfer of manure as fertilizer from livestock farms to crop fields
T2 - The case of Catalonia
AU - Kamilaris, Andreas
AU - Engelbrecht, Andries
AU - Pitsillides, Andreas
AU - Prenafeta-Boldú, Francesc X.
PY - 2020/8
Y1 - 2020/8
N2 - Intensive livestock production might have a negative environmental impact, by producing large amounts of animal manure, which, if not properly managed, can contaminate nearby water bodies with nutrient excess. However, if animal manure is exported to nearby crop fields, to be used as organic fertilizer, pollution can be mitigated. It is a single-objective optimization problem, in regards to finding the best solution for the logistics process of satisfying nutrient needs of crops by means of livestock manure. This paper proposes three different approaches to solve the problem: a centralized optimal algorithm (COA), a decentralized nature-inspired cooperative technique, based on the foraging behaviour of ants (AIA), as well as a naive neighbour-based method (NBS), which constitutes the existing practice used today in an ad hoc, uncoordinated manner in Catalonia. Results show that the COA approach is 8.5% more efficient than the AIA. However, the AIA approach is fairer to the farmers and more balanced in terms of average transportation distances that need to be covered by each livestock farmer, while it is 1.07 times more efficient than the NBS. Our work constitutes the first application of a decentralized AIA to this interesting real-world problem, in a domain where swarm intelligence methods are still under-exploited.
AB - Intensive livestock production might have a negative environmental impact, by producing large amounts of animal manure, which, if not properly managed, can contaminate nearby water bodies with nutrient excess. However, if animal manure is exported to nearby crop fields, to be used as organic fertilizer, pollution can be mitigated. It is a single-objective optimization problem, in regards to finding the best solution for the logistics process of satisfying nutrient needs of crops by means of livestock manure. This paper proposes three different approaches to solve the problem: a centralized optimal algorithm (COA), a decentralized nature-inspired cooperative technique, based on the foraging behaviour of ants (AIA), as well as a naive neighbour-based method (NBS), which constitutes the existing practice used today in an ad hoc, uncoordinated manner in Catalonia. Results show that the COA approach is 8.5% more efficient than the AIA. However, the AIA approach is fairer to the farmers and more balanced in terms of average transportation distances that need to be covered by each livestock farmer, while it is 1.07 times more efficient than the NBS. Our work constitutes the first application of a decentralized AIA to this interesting real-world problem, in a domain where swarm intelligence methods are still under-exploited.
KW - Animal manure
KW - Ant behaviour
KW - Environmental impact
KW - Livestock farming
KW - Logistic problem
KW - Nature-inspired
KW - Optimization
KW - UT-Hybrid-D
KW - 22/2 OA procedure
UR - http://www.scopus.com/inward/record.url?scp=85086631224&partnerID=8YFLogxK
U2 - 10.1016/j.compag.2020.105550
DO - 10.1016/j.compag.2020.105550
M3 - Article
AN - SCOPUS:85086631224
SN - 0168-1699
VL - 175
JO - Computers and electronics in agriculture
JF - Computers and electronics in agriculture
M1 - 105550
ER -