.

Hassan A A Sayed1,2, Mahmoud A Abdelhamid3, Tarek Kh Abdelkader4,5

  • 1School of Energy and Environment Science, Yunnan Provincial Rural Energy Engineering Key Laboratory, Yunnan Normal University, Chenggong University Town, No. 768 Juxian Road, Kunming, 650500, P.R. China. hassan2712@azhar.edu.eg.

Scientific reports
|November 5, 2024
PubMed
概括

这项研究通过将分析层次过程 (AHP) 和机器学习 (ML) 结合起来,简化了小型农场的拖拉机选择. 最佳的拖拉机平衡价格,功率和维护成本,以实现可持续和高效的农业.

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