Nonlinear parametric modelling to study how soil properties affect crop yields and NDVI
作者: Rebecca WhettonYifan ZhaoSameh ShaddadAbdul M. Mouazen
作者单位: 1Cranfield Soil and AgriFood Institute, Cranfield University, Bedfordshire MK43 0AL, UK
2Through-life Engineering Services Institute, Cranfield University, Bedfordshire MK43 0AL, UK
3Soil Science Department, Faculty of Agriculture, Zagazig University, 44511 Zagazig, Egypt
4Department of Soil Management, Ghent University, Coupure 653, 9000 Gent, Belgium
刊名: Computers and Electronics in Agriculture, 2017, Vol.138 , pp.127-136
来源数据库: Elsevier Journal
DOI: 10.1016/j.compag.2017.04.016
关键词: Yield limiting factorsProximal soil sensingNonlinear parametric modellingVNRX
英文摘要: Abstract(#br)This paper explores the use of a novel nonlinear parametric modelling technique based on a Volterra Non-linear Regressive with eXogenous inputs (VNRX) method to quantify the individual, interaction and overall contributions of six soil properties on crop yield and normalised difference vegetation index (NDVI). The proposed technique has been applied on high sampling resolution data of soil total nitrogen (TN) in %, total carbon (TC) in %, potassium (K) in cmol kg −1 , pH, phosphorous (P) in mgkg −1 and moisture content (MC) in %, collected with an on-line visible and near infrared (VIS-NIR) spectroscopy sensor from a 18ha field in Bedfordshire, UK over 2013 (wheat) and 2015 (spring barley) cropping seasons. The on-line soil data were...
全文获取路径: Elsevier  (合作)
影响因子:1.766 (2012)

  • parametric 子宫旁的
  • modelling 模型制造
  • properties 道具
  • affect 给影响
  • study 学习
  • sensing 感觉
  • limiting 限制处理