X-FOREST: An Open-Source Drone–Rhizosphere Architecture for Accelerated Reforestation and Soil Regeneration

Severe wildfires in 2024–2025 left over 4 million hectares of Mediterranean and boreal forests in a degraded state. Conventional hand-planting methods restore at a rate of ≤1 ha day⁻¹ per team and cost upwards of €3,000 ha⁻¹. This paper presents X-FOREST, an open-hardware platform that couples autonomous dew-harvesting drones with a subterranean sensor-actuator root-mesh (rhizosphere network). The system is designed to hydrate and seed target plots without external pumps, utilizing commodity components at an estimated cost of ≈$390 per node. A 5×5 meter proof-of-concept plot near Haifa, Israel, collected an average of 3.2 L night⁻¹ of dew, achieved an 86% germination rate for acacia-biochar pellets, and demonstrated a 71% reduction in labor hours relative to manually managed plots. All schematics, firmware, and datasets are released under CERN-OHL-S v2 and GPL v3 licenses to encourage community-driven development and replication.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-03
DOI
https://doi.org/10.5281/zenodo.16733950
Primary Topic
Tree Root and Stability Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

X-FOREST: An Open-Source Drone–Rhizosphere Architecture for Accelerated Reforestation and Soil Regeneration

Zenodo (CERN European Organization for Nuclear Research)
Tree Root and Stability Studies
article

X-FOREST: An Open-Source Drone–Rhizosphere Architecture for Accelerated Reforestation and Soil Regeneration

article en

Abstract

Severe wildfires in 2024–2025 left over 4 million hectares of Mediterranean and boreal forests in a degraded state. Conventional hand-planting methods restore at a rate of ≤1 ha day⁻¹ per team and cost upwards of €3,000 ha⁻¹. This paper presents X-FOREST, an open-hardware platform that couples autonomous dew-harvesting drones with a subterranean sensor-actuator root-mesh (rhizosphere network). The system is designed to hydrate and seed target plots without external pumps, utilizing commodity components at an estimated cost of ≈$390 per node. A 5×5 meter proof-of-concept plot near Haifa, Israel, collected an average of 3.2 L night⁻¹ of dew, achieved an 86% germination rate for acacia-biochar pellets, and demonstrated a 71% reduction in labor hours relative to manually managed plots. All schematics, firmware, and datasets are released under CERN-OHL-S v2 and GPL v3 licenses to encourage community-driven development and replication.

Zenodo (CERN European Organization for Nuclear Research)
Technion – Israel Institute of Technology (IL)
Openalex Percentile: Top 56%
Tree Root and Stability Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.