Estimation of crop residue distribution in paddy fields is extremely crucial especially in tight crop rotation areas that produce large volumes of straw cau'/> Mass-Based Image Analysis for Evaluating Straw Cover Under High-Residue Farming Conditions in Rice–Wheat Cropping System
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Mass-Based Image Analysis for Evaluating Straw Cover Under High-Residue Farming Conditions in Rice–Wheat Cropping System

机译:水稻小麦种植系统高残留养殖条件下评价秸秆覆盖的基于质量的图像分析

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摘要

AbstractEstimation of crop residue distribution in paddy fields is extremely crucial especially in tight crop rotation areas that produce large volumes of straw causing germination problems in the following crop. Our objective was to develop an accurate and easy-to-handle field method to quantify the proportion of ground cover. Mass and cover relationships were investigated and analyzed to evaluate straw distribution on the soil surface, by comparing surface cover from three different combine harvesters in a rice–wheat (R–W) cropping system. For each harvester, straw distribution on the ground was measured and virtually reconstructed, and then the straw stacked layers analyzed. The mean straw mass distribution and percent surface cover measured in 2014 and 2015 ranged between 4200–12,000?kg/ha and 60–97%, respectively, for all the harvesters. Flat straw mass was higher than standing stubble mass in all treatments. The most important observation is that the distribution pattern of straw depended on instantaneous material feed rate through the harvester; the higher the feed rate, the poorer the straw distribution uniformity. The Xinjiang Ceres 4LZ-2.5 harvester outperformed all the other harvesters. These findings can improve the estimation of straw cover for tillage straw incorporation or no-till straw return fields and indicates that straw condition should be considered in mass-to-cover relationships.
机译:<标题>抽象 ara ID =“PAR1”>稻田中作物残留物分布的估计极为至关重要,尤其是在狭窄的作物旋转区域中,产生大量的秸秆,导致以下作物中的萌发问题。我们的目标是开发一种准确且易于处理的现场方法,以量化地面盖的比例。研究并分析了质量和覆盖关系并分析以评估土壤表面上的秸秆分布,通过比较三种不同组合收割机在稻米(R-W)种植系统中的表面覆盖。对于每个收割机,测量地面上的秸秆分布并实际重建,然后分析秸秆堆叠层。 2014年和2015年测量的平均秸秆块分配和百分比表面覆盖率在4200-12,000?KG / HA和60-97%之间,所有收割机分别为60-97%。在所有治疗中,扁平秸秆质量高于静物质量。最重要的观察是,秸秆的分布模式取决于通过收割机的瞬时材料进料速率;进料率越高,秸秆分布均匀性越差。新疆CEREES 4LZ-2.5收割机表现出所有其他收割机。这些发现可以改善耕作秸秆掺入的吸管覆盖的估计或秸秆返回领域,并表明应以质量覆盖关系考虑秸秆状况。

著录项

  • 来源
    《Agricultural Research》 |2017年第4期|共9页
  • 作者单位

    College of Engineering Nanjing Agricultural University/Key Laboratory of Intelligent Agricultural Equipment;

    College of Engineering Nanjing Agricultural University/Key Laboratory of Intelligent Agricultural Equipment;

    College of Engineering Nanjing Agricultural University/Key Laboratory of Intelligent Agricultural Equipment;

    College of Engineering Nanjing Agricultural University/Key Laboratory of Intelligent Agricultural Equipment;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 农业科学;
  • 关键词

    Surface cover; Straw distribution; Straw mass; Stacked layers;

    机译:表面覆盖;秸秆分布;秸秆质量;堆积层;

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