Mycology Research
3 ResultsBelow-ground Fungal Biodiversity Can be Monitored Using Self-Supervised Learning Satellite Features
2[phone redacted]This paper presents a method using self-supervised learning on satellite imagery to predict and monitor below-ground ectomycorrhizal fungal richness at a high spatial resolution (10m). This approach offers a scalable tool for creating continuous, high-resolution biodiversity maps for ectomycorrhizal fungi, improving upon traditional field sampling. The paper is largely irrelevant to Rootella. It focuses exclusively on ectomycorrhizal fungi (EcM), which are a distinct type of mycorrhizal fungi from the arbuscular mycorrhizal fungi (AMF) that Rootella is based on.
This paper introduces "FungiSync," a mixed reality art installation where participants embody forest plants and simulate mycorrhizal network connections through physical hand touch. The experience aims to translate mycorrhizal interdependence into a felt ritual, exploring "fungal epistemics" and critiquing digital individualism. This paper is irrelevant to the commercial, practical, or distribution opportunities for Rootella. It describes an art and technology project using mycorrhizal networks as a metaphor, not an agricultural application or research relevant to soil inoculants.
High-Temporal-Resolution Measurements of the Impacts of Ionizing Radiation on Superconducting Qubits
2[phone redacted]This paper details high-temporal-resolution measurements of how ionizing radiation impacts superconducting qubits, using on-chip microwave kinetic inductance detectors. It characterizes qubit recovery dynamics and quasiparticle generation following radiation events, finding no correlation between ionizing radiation and two-level system scrambling events. This paper is entirely irrelevant to Rootella, as it concerns quantum computing hardware and radiation effects, offering no commercial, practical, or distribution insight for an agricultural product based on beneficial fungi.