Can Machines Garden? Systematically Comparing the AlphaGarden vs. Professional Horticulturalists

Abstract

The AlphaGarden is an automated testbed for indoor polyculture farming which combines a first-order plant simulator, a gantry robot, a seed planting algorithm, plant phenotyping and tracking algorithms, irrigation sensors and algorithms, and custom pruning tools and algorithms. In this paper, we systematically compare the performance of the AlphaGarden to professional horticulturalists on the staff of the UC Berkeley Oxford Tract Greenhouse. The humans and the machine tend side-by-side polyculture gardens with the same seed arrangement. We compare performance in terms of canopy coverage, plant diversity, and water consumption. Results from two 60-day cycles suggest that the automated AlphaGarden performs comparably to professional horticulturalists in terms of coverage and diversity, and reduces water consumption by as much as 44%. Code, videos, and datasets are available at https://sites.google.com/berkeley.edu/systematiccomparison.

Plant phenotyping relevance

自動栽培プラットフォームに植物フェノタイピング・追跡アルゴリズムが組み込まれ、キャノピー被覆率や植物多様性を用いて性能比較しているため、フェノタイピング手法の実質的な応用・評価が中心的です。

Code and data availability

The paper explicitly states that code, videos, and datasets from the AlphaGarden vs. horticulturalist comparison (including time-lapse data from 120 days of physical experiments) are publicly available at the authors' project site.