Timely forecasting of crop yield is vital for precision agriculture management practices. This study used on‐the‐go proximal soil sensing using electromagnetic induction (EMI) readings of apparent ground electrical conductivity (ECa) to map ECa and forecast potato tuber yield in four fields across Atlantic Canada. The ECa data, measured in the horizontal co‐planar (HCP) configuration mode of the DualEM‐2 instrument, were segmented to the top 0.30‐m thickness of the soil layer using a standard method to compare mapping/prediction accuracy. Results showed that ECa correlated well (R² = 0.81–0.90) with a 1:5 soil‐to‐water ratio solution's electrical conductivity (EC1:5). The actual tuber yield, which moderately varied (CV = 18.9–27.5%) across the fields and significantly correlated with ECa, explained more than 55% of the yield variability (R² = 0.57–0.66). The forecasted tuber yield calculated from cubic regression models of the actual tuber yield versus ECa was non‐significantly different from the actual tuber yield (RMSE = 12.2–18.3%; R² = 0.57–0.66). Interpolated maps of the predicted and the actual yields, and their correlation analyses, showed similar trends of variations within the study fields (r = 0.69–0.80). The higher values of cation exchange capacity, calcium, phosphate, potash, organic matter and soil moisture content in the New Brunswick soils compared to the Prince Edward Island soils resulted in an overestimation of the predicted tuber yield than the actual yield at the lower ECa values, and an underestimation of the predicted tuber yield at higher ECa values for New Brunswick. The results revealed that the province‐based calibrations produced more accurate predictions when compared with the single calibration by combining all of the data from New Brunswick and Prince Edward Island. The non‐destructive prediction of potato tuber yield can enable the development of precision agricultural techniques and management practices for yield forecasting, in addition to making informed decisions for enhanced potato productivity.

中文翻译：

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利用土壤电磁感应法预测马铃薯块茎产量

对农作物产量的及时预测对于精确的农业管理实践至关重要。这项研究使用了近地土壤感应，利用表观地面电导率（ECa）的电磁感应（EMI）读数绘制了ECa并绘制了加拿大大西洋沿岸四个田地的马铃薯块茎产量。使用DualEM-2仪器在水平共面（HCP）配置模式下测量的ECa数据使用标准方法分割为土壤层的顶部0.30-m厚度，以比较测绘/预测精度。结果显示ECa相关性良好（R ²= 0.81-0.90），水土比为1：5的溶液的电导率（EC1：5）。田间的实际块茎产量适度变化（CV = 18.9–27.5％），并且与ECa显着相关，解释了超过55％的产量变异性（R ² = 0.57–0.66）。根据实际块茎产量与ECa的三次回归模型计算得出的预测块茎产量与实际块茎产量无显着差异（RMSE = 12.2-18.3％； R ² = 0.57-0.66）。预测和实际产量的插值图及其相关分析显示，研究领域内的变化趋势相似（r= 0.69–0.80）。与爱德华王子岛土壤相比，新不伦瑞克省土壤中的阳离子交换容量，钙，磷酸盐，钾盐，有机质和土壤水分含量较高，导致在较低ECa值下，块茎产量比实际产量高估了。 ，并低估了新不伦瑞克省（EC）值较高时预测的块茎产量。结果表明，通过合并来自新不伦瑞克和爱德华王子岛的所有数据，与单次校准相比，基于省份的校准产生了更准确的预测。马铃薯块茎单产的非破坏性预测除了可以做出明智的决定来提高马铃薯的生产力外，还可以开发精确的农业技术和产量预测的管理方法。