Commercial consultants frequently sell site-specific crop input management recommendation maps (R_xs) to their farmer-clients. This study proposes a method to empirically evaluate the efficacy of commercial R_xs. The method takes three steps: (1) it uses precision agriculture technology to conduct randomized on-farm precision experiments; (2) it estimates yield response functions for the R_x’s management zones using the data; and (3) it conducts economic analysis to test the hypothesis that implementing the R_x is an economically optimal strategy. The method is illustrated using data from a 2018 on-farm nitrogen and seed rate precision experiment on a 31-ha Ohio field, for which nitrogen and seed R_xs were created by the farmer’s professional consultant. The study demonstrates the promise of improving input management through on-farm precision experimentation and data analysis. Future research must conduct trials over multiple years to account for weather. A call is made for the development of public and private research infrastructure to lower the costs on-farm precision experimentation and data analysis.

商业顾问经常将特定地点的作物投入管理推荐图（R _x s）出售给农民客户。这项研究提出了一种方法，以经验评估商业R _x s的效力。该方法分三步进行：（1）采用精准农业技术进行随机的农场精准实验。（2）它估计产率响应函数为[R _X使用数据的管理区; （3）进行经济分析以检验实施R _x的假设是一种经济上最佳的策略。使用2018年在俄亥俄州31公顷田间进行的农场氮和种子比率精度实验的数据说明了该方法，该实验由农民的专业顾问创建了氮和种子R _x s。该研究证明了通过农场精确实验和数据分析改善输入管理的希望。未来的研究必须进行数年的试验才能说明天气情况。呼吁发展公共和私人研究基础设施，以降低农场精确实验和数据分析的成本。