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    <responseDate>2026-10-14T16:01:10Z</responseDate>
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    <header >
    <identifier>10.57760/sciencedb.IGA.001cz</identifier>
    <datestamp>2026-08-31T11:24:10Z</datestamp>
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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:date>2026-08-31</dc:date>
  <dc:title>Third‑Party Test Report for High‑Power Intelligent Agricultural Machinery Prototype</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.iga.001cz</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The dataset comprises multiple third‑party commissioned inspection and test evaluation reports for the BQAIRC‑YZ unmanned driving system as well as three models of unmanned intelligent pure‑electric tractors: T400, T200 and T70. It is original structured field‑measured technical data in the agricultural machinery domain. All data are collected on‑site by testing institutions, and converted into PDF files through data sorting, entry and typesetting, as well as multiple rounds of verification and review. The documents contain complete information including report numbers, prototype parameters, entrusting and manufacturing entities, test conditions, test instruments and equipment, acceptance records, measured results, prototype photos, and report notes.

The BQAIRC‑YZ report evaluates the applicability of GNSS‑aided navigation for unmanned driving; the T400 dataset includes performance data of power take‑off, traction, suspension and hydraulic power; the T200 dataset covers test data on power output, traction and suspension lifting capacity; the T70 dataset involves sample consistency verification, partial complete‑machine performance tests such as power take‑off, traction, hydraulic performance and suspension lifting capacity, as well as applicability verification, safety evaluation covering complete‑machine safety protection and lighting‑signal devices, and production verification tests on field rotary‑tillage and ploughing operation quality and equipment availability.

Combining texts, tables and images, the dataset can be used by research‑and‑development institutions, manufacturers and testing organizations for product technical verification, iterative optimization, file archiving and quality control. It also supports comparative research on similar agricultural‑machinery products and studies on test standards. With traceable data, it provides field‑measured references for the R&amp;amp;D and evaluation of unmanned electric tractors and their navigation systems.</dc:description>
  <dc:subject>Prototype; test; report</dc:subject>
  <dc:creator>卫晓磊</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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