Using a literature pool spanning 23 years, this meta-analysis quantifies the effect of factors underlying the adoption of precision agriculture. Unlike statistical significance, which demonstrates how likely adoption is due to chance, effect size indicates the importance of a factor to adoption. This meta-analysis finds that perceived profitability, consultants and use of a computer factors have a moderate effect. However, the findings should not be regarded as definitive because of issues of sample size and heterogeneity embedded in a number of the reference studies. This latter point is re-enforced by observation of other factors that had a negligible effect on adoption. Whether future studies will provide meaningful policy implications depend on a careful understanding and selection of factors, models, and statistical treatment in relation to decision-making paths and their context.

该荟萃分析使用跨越 23 年的文献库，量化了采用精准农业的潜在因素的影响。与统计显着性不同，统计显着性表明采用的可能性有多大，效果大小表明一个因素对采用的重要性。这个元分析发现感知的盈利能力、顾问和计算机的使用因素影响中等。然而，由于一些参考研究中存在样本量和异质性问题，因此不应将这些发现视为确定性的。后一点通过观察其他对采用率影响微乎其微的因素得到了强化。未来的研究是否会提供有意义的政策影响取决于对与决策路径及其背景相关的因素、模型和统计处理的仔细理解和选择。