Telemetry-Based Optimization of Fuel Consumption and Energy Efficiency of Tractor–Machine Combinations for Sustainable Agricultural Operations
持続可能な農業オペレーションのためのトラクタ・機械システムの燃料消費とエネルギー効率のテレメトリ最適化 (AI 翻訳)
Aldabergenov M, Rzaliyev A, Orynbayev N, Utemuratov J
🤖 gxceed AI 要約
日本語
本研究は、テレメトリ監視を用いて農業機械の燃料消費基準を精緻化し、エネルギー性能を評価した。実地試験でDFM流量計とCANバス、BLE通信を活用し、慣行耕起と最小耕起を比較。最小耕起は比エネルギー消費を17.1%削減し、10,000haあたり年間560トン以上のCO2排出削減が可能と示した。
English
This study refines fuel consumption standards and evaluates energy performance of tractor-machine combinations using telemetry monitoring. Field experiments with DFM flow meters and CAN bus compared conventional and minimum tillage, finding minimum tillage reduces specific energy consumption by 17.1% and can cut CO2 emissions by over 560 tonnes per 10,000 ha annually.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本の農業分野では、GX推進の一環として農業機械の電動化やスマート農業が注目されており、本研究成果は燃料消費の適正化による即効性のあるCO2削減策として参考になる。特に、農機メーカーや大規模農業法人にとって、テレメトリデータを活用した運用改善は、環境報告や補助金申請にも活用可能。
In the global GX context
Globally, agriculture is a significant source of GHG emissions, and improving energy efficiency in mechanized operations is a key lever for decarbonization. This study provides empirical evidence on the benefits of minimum tillage and telemetry-based monitoring, which can inform sustainable farming practices and carbon accounting methodologies.
👥 読者別の含意
🔬研究者:Provides empirical data on fuel consumption and energy efficiency in agricultural operations, useful for developing adaptive standards and carbon footprint models.
🏢実務担当者:Offers a practical methodology for optimizing fuel use and reducing emissions in farming operations, which can be adopted by agricultural companies.
🏛政策担当者:Highlights the potential of telemetry and minimum tillage for achieving agricultural emission reduction targets, informing policy support for sustainable farming technologies.
📄 Abstract（原文）
The use of outdated fuel consumption standards reduces the economic efficiency and environmental sustainability of modern agricultural production. This study aimed to refine fuel consumption standards and evaluate the energy performance of tractor–machine combinations during major agricultural operations using telemetry-based monitoring. Field experiments were conducted under real production conditions using DFM electronic fuel flow meters integrated with the CAN bus and BLE wireless data transmission. Comparative analyses of conventional and minimum tillage systems were performed using real-time telemetry data collected during plowing, harrowing, seeding, spraying, cultivation, harvesting, and transportation operations. Statistical and regression analyses revealed significant relationships between operating speed, fuel consumption, and specific energy consumption. Minimum tillage reduced useful specific energy consumption by 5.7% (543.5 kWh/ha) and total specific energy consumption by 17.1% (1078.3 kWh/ha) compared with conventional tillage. A strong non-linear relationship R2 = 0.985 was identified between operating speed and process energy consumption. The proposed telemetry-based methodology improves the accuracy of fuel consumption assessment and provides a practical basis for developing adaptive fuel consumption standards under actual operating conditions. Furthermore, the transition to minimum tillage and telemetry-based monitoring enables significant carbon footprint reduction, mitigating CO2 emissions by over 560 tonnes per 10,000 ha annually, thereby supporting the decarbonization of mechanized agricultural operations.
🔗 Provenance — このレコードを発見したソース
- Research Square https://doi.org/10.20944/preprints202607.2269.v1first seen 2026-08-07 04:36:58
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