Correction to: A meta-analysis of factors driving the adoption of precision agriculture

Precision Agriculture -     

Factors Affecting the Selection of Information Sources of Sustainable Agricultural Practices by Malaysian Vegetable Farmers

Information is key in reducing the uncertainties of sustainable agricultural practices (SAPs). The objective of this study was to improve the understanding of the relationship between utilized informational sources and other key identified factors affecting Malaysian vegetable producers' choices. The findings of a multivariate probit model suggest that information sources are complementary. The choices for these sources are influenced by heterogeneity in access to credit, social network (member of farmers association), and farm settings (distance from farm to market, resource depletion issues, and geographical regions). Future promotion of SAPs should be delivered through the provision of quality content disseminated through the preferred information sources, which target potential users.     

Factors influencing the adoption of precision agricultural technologies: a review for policy implications

Increasing pressure for food security and sustainability as well as a need to halt environmental degradation has focused attention on increasing the efficient use of farm resources. One answer to aspects of that problem is the use of precision agricultural technologies (PATs). To facilitate their adoption, initiatives have been fostered in developed countries since the 1980s. Despite a low rate of adoption elsewhere, similar efforts in recent years have been initiated in developing countries. Given this, understanding those underlying factors that influence the adoption of PATs is vital. It is timely to review these factors and to draw policy implications from that review for future actions. This review, based on studies investigating the limited adoption of PATs in ??experienced?? countries, extrapolates their findings to explain why farmers have or have not adopted PATs. At the same time, this review summarizes the key insights for more effectively targeting ??new?? followers: e.g. it provides some answers to the question of who is more likely to adopt PATs. Additionally, the review points to the limitations of current research in the area and suggests a robust economic model or multidisciplinary approach be adopted for future investigation.     

A meta-analysis of factors driving the adoption of precision agriculture

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.