Evaluating Management Practices in Precision Agriculture for Maize Yield with Spatial Econometrics

Standards Pub Date : 2022-04-20 DOI:10.3390/standards2020010

Nuno Santos, Isabel Proença, Mariana Canavarro

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引用次数: 2

Abstract

Precision agriculture (PA) aims to provide data on soil, nutrient use, irrigation, and crops, to guide management strategic decisions towards an efficient use of inputs, increasing production and avoiding environmental problems due to excessive accumulation of fertilizers. In this paper, PA data from a large Portuguese farm producing maize were used to assess the effectiveness of agronomic management decisions concerning fertilizer and nutrient use, seed choice, and water content, in terms of crop productivity. The maize yield in 2017 and 2018 was modelled as a function of manageable inputs and unmanageable factors introduced as control variables. Panel spatial econometric methods were used for specification and estimation, to control for spatial dependence and spatial heterogeneity. The model proved to fit the data remarkably well and could be a good reference for specifying models to explain maize production; thus, helping researchers who need to deal with the huge amount of data that normally originates from PA. Additionally, it can be considered another tool for farm managers, helping in the design and evaluation of their agronomic management decisions.

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用空间计量经济学评价玉米产量的精准农业管理实践

精准农业(PA)旨在提供关于土壤、养分利用、灌溉和作物的数据，以指导管理战略决策，以有效利用投入、增加产量和避免因肥料过度积累而造成的环境问题。本文利用葡萄牙一家大型玉米农场的PA数据，评估了有关肥料和养分使用、种子选择和水分含量的农艺管理决策在作物生产力方面的有效性。将2017年和2018年玉米产量建模为可控投入和不可控制因素作为控制变量的函数。面板空间计量经济学方法用于规范和估计，以控制空间依赖性和空间异质性。结果表明，该模型具有较好的拟合效果，可为玉米生产模型的确定提供参考;因此，帮助需要处理通常来自PA的大量数据的研究人员。此外，它可以被认为是农场管理者的另一种工具，有助于设计和评估他们的农艺管理决策。

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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