Capability of crop canopy sensing to predict crop parameters of cut grass swards aiming at early season variable rate nitrogen top dressings

G. Portz, M. Gnyp, J. Jasper
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引用次数: 5

Abstract

This study aims to evaluate actual biomass and N-uptake estimates with the Yara N-Sensor in intensively managed grass swards across several trial sites in Europe. The dataset was split by location into an independent calibration data (UK and Finland) and a validation data (Germany) for the first two cuts. Yara N-Sensor readings were better correlated with N-uptake (R²=0.71) than actual biomass (R²=0.53) for the 1ˢᵗ cut. At the 2ⁿᵈ cut, the R² values for both parameters were higher (0.80 and 0.56). A cross-validation with a German grass trial indicated the potential for predicting N-uptake (R²>0.8). It can be concluded that the technology has the potential to guide management decisions and variable rate nitrogen application on European grass swards.
作物冠层遥感对刈割草地早季变量氮肥作物参数的预测能力
本研究旨在利用Yara N-Sensor在欧洲几个试验点的集约化管理的草地上评估实际生物量和n吸收估计。数据集按位置分为独立的校准数据(英国和芬兰)和前两次切割的验证数据(德国)。Yara N-Sensor读数与n吸收率(R²=0.71)的相关性优于实际生物量(R²=0.53)。在2 * *切割处,两个参数的R²值更高(0.80和0.56)。与德国草试验的交叉验证表明,预测氮吸收的潜力(R²>0.8)。可以得出结论,该技术具有指导欧洲草地管理决策和可变速率氮施用的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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