外文摘要：This description relates to a predictive model for estimating the proportions of sand, silt, and clay in a soil sample based on near-infrared spectroscopy (NIRS) performed on the soil samples. The soil texture prediction model is trained using benchmark NIRS test data and collected spectra of soil samples for which the benchmark test data has been collected. The estimates produced by the model can be used to determinate a variety of properties of the soil sample, such as hydrological properties and soil quality. Knowledge of these properties are useful for informing decisions that agronomists, producers, or farm managers make throughout the year. For example, agronomists use the determined properties to infer how the soil will perform under any given treatment or application, for example applying seeds, fertilizer, pesticide, and herbicide.
申请号：BR112019012178
专利号：BR112019012178B1
公开/公告号：BR112019012178B1
申请日：2017-12-13
公开/公告日：2023-04-04
申请/专利权人：Farmers Edge Inc;
发明/设计人：Patrick J Visser
主分类号： G01N21/3563;
法律状态：授权
原文传递申请：江苏省科技资源（工程技术文献）统筹服务平台