Abstract
Intensive livestock production might have a negative environmental impact, by producing large amounts of animal excrements, which, if not properly managed, can contaminate nearby water bodies with nutrient excess. However, if animal manure is exported to distant 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 crops needs by means of livestock manure. This paper proposes a dynamic approach to solve the problem, based on a decentralized nature-inspired cooperative technique, inspired by the foraging behavior of ants (AIA). Results provide important insights for policy-makers over the potential of using animal manure as fertilizer for crop fields, while AIA solves the problem effectively, in a fair way to the farmers and well balanced in terms of average transportation distances that need to be covered by each livestock farmer. 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.
Original language | English |
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Pages (from-to) | 139-146 |
Number of pages | 8 |
Journal | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Volume | 5 |
Issue number | 4 |
DOIs | |
Publication status | Published - 3 Aug 2020 |
Externally published | Yes |
Event | 2020 24th ISPRS Congress - Technical Commission IV on Spatial Information Science - Nice, Virtual, France Duration: 31 Aug 2020 → 2 Sept 2020 |
Keywords
- Animal Manure
- Ant Behavior
- Environmental Impact
- Livestock farming
- Logistic Problem
- Nature-Inspired Approach
- Nitrogen Management
- Optimization
ASJC Scopus subject areas
- Instrumentation
- Environmental Science (miscellaneous)
- Earth and Planetary Sciences (miscellaneous)