Spatial dimensions of precision agriculture: a spatial econometric analysis of millet yield on Sahelian coversands
运用空间统计和计量技术，比传统农学方法更有效地捕捉土壤和生态特征的局部差异，并以西非萨赫勒地区酸性沙土上的小米生产为例，展示了这些技术在精准农业中的应用。
Abstract The identification of local soil variability caused by within‐field differences of macronutrients and ecological features is of paramount importance for the effectiveness of precision agriculture. We present several spatial statistical and econometric techniques to capture local differences in soil variation, ecological characteristics, and yield more effectively than the analytical techniques traditionally used in agronomy. The application of these techniques is illustrated in a case study dealing with precision agriculture in the West African Sahel. The production of millet on acid sandy soils constitutes a typical example of low soil fertility areas exhibiting small absolute but large relative differences in crop production conditions over short distances.