Fuzzy Logic System for Preference Aware Interplanting in Container Gardens

Preference, space, and variety are three often com-peting variables that many gardeners must optimize. Gardeners living in apartments or duplexes with small patios feel even more constrained, as most discussion of potted or container gardens surrounds ornamental flowers, while herbs and vegetables are often solely related to each other granted the space of a full bed. This conflict leaves many gardeners feeling that they must choose between what they'd like to grow and what they are able to grow. This paper serves to offer a framework and base implementation of a system to provide preference sensitive interplanting suggestions for users with container gardens, helping such gardeners to be able to optimize their gardens and find solutions that enable lush and varied gardens for users with limited space.

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Published
2025-03-22
DOI
https://doi.org/10.1109/southeastcon56624.2025.10971714
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
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article

Fuzzy Logic System for Preference Aware Interplanting in Container Gardens

Mohammadreza Hajiarbabi, Joshua Appel
Advanced Manufacturing and Logistics Optimization
article

Fuzzy Logic System for Preference Aware Interplanting in Container Gardens

Mohammadreza Hajiarbabi, Joshua Appel
article en

Abstract

Preference, space, and variety are three often com-peting variables that many gardeners must optimize. Gardeners living in apartments or duplexes with small patios feel even more constrained, as most discussion of potted or container gardens surrounds ornamental flowers, while herbs and vegetables are often solely related to each other granted the space of a full bed. This conflict leaves many gardeners feeling that they must choose between what they'd like to grow and what they are able to grow. This paper serves to offer a framework and base implementation of a system to provide preference sensitive interplanting suggestions for users with container gardens, helping such gardeners to be able to optimize their gardens and find solutions that enable lush and varied gardens for users with limited space.

Purdue University Fort Wayne (US)
Openalex Percentile: Top 89%
Advanced Manufacturing and Logistics Optimization
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