Resilient Edge-Computing Architectures for Precision Agritech Under Extreme Arid Conditions: The Thar Desert Telemetry Blueprint

Precision agriculture architectures engineered for temperate zones fail catastrophically in hyper-arid desert biomes characterized by ambient temperatures exceeding 45°C, prolonged network partitions, and hypersaline groundwater aquifers. In this technical report, we present the hardware-software co-design, communication topology, and field evaluation of the Agri-Logistics Intelligent Data Acquisition System (Agri-IDAS)—an offline-first, edge-computing telemetry framework tailored for smallholder farming in the Thar Desert of southeastern Sindh, Pakistan (deployed at https://agri-idas.tech/). Agri-IDAS integrates low-power sensing nodes (soil dielectric permittivity, electrical conductivity, canopy temperature) interfaced with solar-harvesting edge gateways via sub-GHz LoRa (868 MHz) and opportunistic GPRS uplinks. To withstand cellular blackouts exceeding 18 hours, the gateway implements an asynchronous SQLite circular buffer and polynomial thermal calibration for sensor baseline drift. Empirical Field Evaluation (Mithi & Islamkot Trials): 99.4% Packet Delivery Integrity: Maintained across continuous 12-hour cellular network outages via the edge ring-buffer. 12.3x Thermal Stability: Polynomial thermal compensation restrained sensor baseline drift to ±1.2% under 48°C desert heat (compared to ±14.8% in uncompensated analog sensors). 38.6% Water Conservation: Closed-loop micro-irrigation scheduling reduced water application to 620 m³/acre for pearl millet compared to 1,010 m³/acre in conventional flood-furrow irrigation. 8.4 ms Local Actuation Latency: Near-instantaneous pump trip response executed entirely at the edge without cloud round-trip dependencies. Open-Access Deployment Portals: • System Portal: https://agri-idas.tech/ • Vernacular Agricultural Dataset: https://huggingface.co/datasets/lokeshsonara/dhatki-agri-intents

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-05
DOI
https://doi.org/10.5281/zenodo.23970078
Primary Topic
Smart Agriculture and AI
Type
preprint
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preprint

Resilient Edge-Computing Architectures for Precision Agritech Under Extreme Arid Conditions: The Thar Desert Telemetry Blueprint

Lokesh Kumar
Zenodo (CERN European Organization for Nuclear Research)
Smart Agriculture and AI
preprint

Resilient Edge-Computing Architectures for Precision Agritech Under Extreme Arid Conditions: The Thar Desert Telemetry Blueprint

Lokesh Kumar
preprint en

Abstract

Precision agriculture architectures engineered for temperate zones fail catastrophically in hyper-arid desert biomes characterized by ambient temperatures exceeding 45°C, prolonged network partitions, and hypersaline groundwater aquifers. In this technical report, we present the hardware-software co-design, communication topology, and field evaluation of the Agri-Logistics Intelligent Data Acquisition System (Agri-IDAS)—an offline-first, edge-computing telemetry framework tailored for smallholder farming in the Thar Desert of southeastern Sindh, Pakistan (deployed at https://agri-idas.tech/). Agri-IDAS integrates low-power sensing nodes (soil dielectric permittivity, electrical conductivity, canopy temperature) interfaced with solar-harvesting edge gateways via sub-GHz LoRa (868 MHz) and opportunistic GPRS uplinks. To withstand cellular blackouts exceeding 18 hours, the gateway implements an asynchronous SQLite circular buffer and polynomial thermal calibration for sensor baseline drift. Empirical Field Evaluation (Mithi & Islamkot Trials): 99.4% Packet Delivery Integrity: Maintained across continuous 12-hour cellular network outages via the edge ring-buffer. 12.3x Thermal Stability: Polynomial thermal compensation restrained sensor baseline drift to ±1.2% under 48°C desert heat (compared to ±14.8% in uncompensated analog sensors). 38.6% Water Conservation: Closed-loop micro-irrigation scheduling reduced water application to 620 m³/acre for pearl millet compared to 1,010 m³/acre in conventional flood-furrow irrigation. 8.4 ms Local Actuation Latency: Near-instantaneous pump trip response executed entirely at the edge without cloud round-trip dependencies. Open-Access Deployment Portals: • System Portal: https://agri-idas.tech/ • Vernacular Agricultural Dataset: https://huggingface.co/datasets/lokeshsonara/dhatki-agri-intents

Zenodo (CERN European Organization for Nuclear Research)
Sindh Agriculture University (PK)
Smart Agriculture and AI
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